Hi, my name is

Mohith.

Coding today for the solutions of tomorrow.

I’m a Computer Science graduate specializing in Machine Learning and high-performance systems. I build scalable AI solutions and backend infrastructure that drive measurable business outcomes. Currently architecting ML pipelines and agentic workflows at PMG, with prior experience at Oracle and AbbVie.

What Drives Me? I enjoy working at the intersection of systems, AI, and optimization. I’m especially excited by problems that require both performance and creativity to solve. My entrepreneurial background helps me focus on solutions that create real business value, not just technical achievements.

Feel free to explore my blog to learn more about my technical journey, or get in touch, I’m always open to new connections and conversations."

Resume

About Me

I’m a Computer Science graduate from the University of Maryland, with a specialization in Machine Learning and a minor in Entrepreneurial Leadership. I’m passionate about building high-performance, scalable systems and applying AI to solve real-world problems in meaningful, measurable ways.

Over the last few years, I’ve worked across backend infrastructure, applied machine learning, agentic AI workflows, and full-stack development. At Oracle, AbbVie, and now PMG, I’ve delivered solutions that operate at scale, including:

  • Fraud detection systems using Graph Neural Networks
  • Retrieval systems powered by vector databases
  • Microservices supporting millions of users
  • LLM-based agents that automate workflows and extract insights from unstructured data

My technical expertise spans distributed computing (MPI, CUDA, Ray), cloud-native infrastructure (AWS, Docker, Kubernetes, Terraform), and full-stack engineering (Go, TypeScript, React).

Beyond Code

Outside of work, I enjoy soccer, volleyball, basketball, and puzzles. Staying active and curious helps me maintain balance and focus.

Feel free to explore my portfolio or check out my blog for project breakdowns and technical insights. If you’re working on something interesting or just want to connect, I’d love to hear from you.

A few technologies I've been working with recently:

Kubernetes

Kafka

Terraform

SQL

PostgreSQL

Kotlin

GraphQL

TypeScript

C++

AWS

Docker

Python

Golang

Rust

Java

React.js

Node.js

JavaScript

Swift

Linux

Shell Scripting

Git

GitHub

HTML

CSS

TensorFlow

PyTorch

OpenCV

Pandas

NumPy

Tailwind

Experience

AI Software Engineer - PMG
June 2025 - Present
Graduate Leadership Program | Architecting AI Agentic Workflows
  • Developing and implementing AI-driven solutions to enhance business processes and customer experiences.
  • Collaborating with cross-functional teams to design, develop, and deploy AI models and applications.
  • Conducting research and analysis to identify opportunities for AI integration and optimization.
  • Built meeting agent with OpenAI API to process calls and automate summaries and follow-ups
  • Developed client insights agent surfacing client-specific analytics, reducing reporting time by 60% across 50+ analysts
Software Engineer I - Allergan Data Labs
September 2024 - May 2025
  • Developing and maintaining software applications/products for Allergan Data Labs, focusing on data.
  • Collaborating with cross-functional teams to design and implement software solutions that meet business requirements.
  • Conducting code reviews, testing, and debugging to ensure the quality and reliability of software applications.
  • Utilizing agile methodologies to manage projects and deliver software solutions on time and within budget.
Machine Learning Engineer Intern - Oracle
June - September 2024
  • Researched fraudulent transactions detection ML models that use Graph Neural Network, graph2vec, PyG, and NetworkX.
  • Designed and deployed OCI Environment & Autonomous Database for ML model training data management.
  • Performed exploratory data analysis (EDA) and feature engineering on ADS-B data, training an ML model to predict flight ETAs.
  • Implemented an LLM to streamline ticket resolution processes for both internal operations and client-facing applications.
Software Engineer Intern - Allergan Data Labs
May - August 2024
  • Spearheaded the development of a Total Rewards Reminder email campaign in Alle, reaching 6.5 million users.
  • Engineered responsive email templates using MJML/HTML, ensuring cross-platform compatibility through testing on Litmus.
  • Collaborated with engineering teams to manage and troubleshoot email delivery and audience retrieval on Datadog and AWS.
Full Stack Engineer - NitesOut
November 2023 - Present
  • Working with a team to develop a mobile application for NitesOut, enhancing the user experience for nightlife enthusiasts.
  • Utilizing various programming languages and frameworks to create a user-friendly interface and efficient backend functionalities.
  • Collaborating with a team of developers and designers to ensure the app aligns with NitesOut’s brand and goals.
  • Implementing features such as event discovery, ticket purchasing, and social interaction to provide a comprehensive platform for users.
  • Conducting thorough testing to identify and fix bugs, ensuring a smooth and reliable user experience.
Machine Learning Engineer Intern - Airweb Digital
November 2023 - May 2024
  • Independently developing an AI-based Attention Analysis feature using machine learning libraries such as TensorFlow or PyTorch. This feature is optimizing a specific type of advertising (billboards), and has led to significant improvements in advertising effectiveness.
  • Leading the creation of a viewshed analysis deliverable for visibility ranking using drone data, leveraging GIS (Geographic Information System) technologies such as QGIS. This analysis is will be used to identify optimal locations for new advertisements and analyze the effectiveness of existing ad placements.
  • Working directly with the CEO and consulting with company partners to align the projects with the company’s strategic goals. Contributed to key decisions and strategies, and suggested new ideas or approaches that have been implemented.
  • Leveraging agile practices from experience to manage the projects, displaying initiative and leadership in a startup setting.
Full Stack Engineer - Break Through Tech
December 2023 - March 2024
  • Launched ‘SussanahAI’, a web app that uses AI and the Cohere API for sentiment analysis, spam filtering, and summarization.
  • Implemented the backend using Flask, handling server-side logic, and devised an interactive frontend using Figma and React.
  • Shadowed and received mentoring from a software engineer at Microsoft, learned industry best practices, enhancing my skills.
  • Authored and delivered a professional presentation to effectively communicate project highlights and plans for growth.
Software Engineer Intern - Miles IT
May - August 2023
  • Developed and implemented software features for clients using languages such as Java, Javascript, HTML/CSS
  • Participated in agile development processes, including sprint planning and scrum meetings.
  • Provided technical support and troubleshooted various technology issues in environments like Amazon AWS, Windows, and Linux.
  • Completed 30 hours of training and earned a certificate in Remote Support, Desktop Technology, Network Technology, Server Technology, Cloud Service Technology, and Remote Support Scenarios.
Genome Computing Project Manager & Lead Researcher - UMD FIRE
Aug 2022 - May 2023
  • Utilized command line and C++ for scientific computing, significantly accelerating data processing.
  • Analyzed and modeled complex genomic data using Python and R, leading to more accurate results by 10-15%.
  • Employed Python and C++ to generate and evaluate structural data of DNA, RNA, and proteins on supercomputers, reducing processing time by 30%.
  • Developed 3-D computational models of DNA, focusing on data analysis to optimize structures and understand protein-nucleic acid interactions.
  • Applied data analysis techniques to explore various DNA configurations and their influences, contributing to the understanding of molecular organization and binding activity for enzymes and drugs.
  • Employed tools such as PyMOL, Jupyter Notebooks, and Anaconda to facilitate data analysis and visualization.
  • Gained experience in programming, utilizing supercomputers, data analytics, and generating figures.
Software Engineering and Robotics Mentor - FIRST
September 2023 - Present
  • Mentoring a team of girls participating in the FIRST LEGO League (FLL), providing guidance and support in all aspects of the competition, including the Robot Game, Innovation Project, and Core Values.
  • Successfully guided the team through the qualifiers, advancing to the state round of the competition.
  • Inspiring and empowering students to be innovators, working side by side with them to build their leadership and problem-solving skills, and fostering their sense of belonging and self-confidence.
  • Assisting the team with technical and non-technical topics such as programming, building skills, project management, and presentation skills.
  • Serving as a role model and advisor, helping to instill the principles of Gracious Professionalism® and FIRST Core Values in the students.
CSNHS Co-Founder - RHS
September 2020 - June 2022
  • Played a key role in the establishment of the Computer Science National Honor Society (CSNHS) at Robbinsville High School, demonstrating strong leadership skills and initiative. This involved coordinating with school administrators, defining the society’s mission and goals, and recruiting members.
  • Organized and actively participated in various events such as hackathons, workshops, conferences, and guest lectures. These events provided opportunities for students to learn new skills, network with professionals in the field, and showcase their own projects.
  • Collaborated with peers on numerous coding projects, which involved brainstorming ideas, dividing tasks, writing code, and troubleshooting issues. These projects not only resulted in functional software applications but also improved problem-solving skills and the ability to work effectively in a team.
  • Worked to promote computer science education within the school community. This involved conducting informational sessions, providing tutoring support, and creating a welcoming environment for all students interested in computer science. These efforts led to the accumulation of 127 members within the first year of the CSNHS’s establishment.

Education

2022 - 2025
Bachelor of Science in Computer Science - Machine Learning
University of Maryland - College Park
GPA: Currently 3.72 out of 4.0

Minor: Entrepreneurial Leadership (Robert H. Smith School of Business)

Relevant Coursework: Object Oriented Programming I & II, Discrete Structures, Computer Systems, Organization of Programming Languages

Extracurriculars: BigTh!nk AI, Google Developer Student Club, Bitcamp, Break Through Tech (Initiative of Cornell Tech)

Awards: College of Computer, Mathematical, and Natural Sciences' Dean’s List

2018 - 2022
High School
Robbinsville High School
GPA: 4.3 weighted

Extracurriculars:

  • Co-founder of the Computer Science National Honors Society
  • Varsity soccer
  • Varsity volleyball
  • Math National Honors Society
  • Science National Honors Society

Awards:

  • Honor Roll Student
  • AP® Scholar with Distinction

Projects

ACME Case Study
Python Pandas NumPy SciPy Matplotlib Pulp
ACME Case Study
This project is a sales forecasting and optimization platform for Acme. It leverages a synthetic dataset that models Acme’s hierarchical structure—Portfolio, Geography, Category, Brand, and Segment—with realistic market constraints at each level. The algorithm runs multiple scenarios, including maximizing sales, maximizing margins, and achieving specific sales or margin targets, while projecting outcomes over a five-year period. This structured approach provides clear, actionable insights to help leadership set realistic growth expectations and strategic priorities.
Mohith's Portfolio & Perspective
Hugo Bootstrap Javascript HTML CSS Netlify
Mohith's Portfolio & Perspective
A personal portfolio and blog website that I created using Hugo and hosted on Netlify. The website is built with HTML, CSS, Bootstrap, and JavaScript, demonstrating my proficiency in these languages and my ability to create a user-friendly and responsive web design. The blog section of the website serves as a platform for me to share my insights and experiences in the field of computer science, particularly in machine learning, data analytics and innovation. This project not only showcases my technical skills but also my passion for sharing knowledge and engaging with the tech community.
Demo
2024 Crime in Los Angeles Analysis
Python Pandas NumPy SciPy Matplotlib Scikit-learn Seaborn
2024 Crime in Los Angeles Analysis
This project analyzes 2024 crime data in Los Angeles to uncover trends and correlations between crime occurrences, victim demographics, and location. Using statistical methods (Chi-Squared, ANOVA) and machine learning (Logistic Regression), it predicts victim gender and identifies high-risk areas and times. The goal is to provide actionable insights for improving community safety and informing data-driven strategies.
Account Ownership Data Analysis
R R Notebooks
Account Ownership Data Analysis
Utilized R programming and data visualization techniques. Analyzed account ownership data for countries according to gender. Explored trends in Brazil, India, and the United States. Investigated ownership percentages for primary education or less and secondary education or more. Examined data for Chile, Serbia, Uganda, France, and Peru. Conducted statistical analysis and drew conclusions on account ownership trends.
TaskMaster Application - Java-based To-Do List Application
Java AWS
TaskMaster Application - Java-based To-Do List Application
Engineered a clean and simple Java-based application with an intuitive UI for efficient task management. It includes a task sorting algorithm and a search function that utilizes regular expressions. The application is designed with robust error handling mechanisms and is currently being migrated to AWS for secure data storage and user authentication.
StocksEye - Real-time Stock Tracking Web Application
React.js Chart.js JavaScript
StocksEye - Real-time Stock Tracking Web Application
This is a web application currently under development, designed to track stock prices and provide real-time updates. The frontend is being developed using React.js, Chart.js, and JavaScript. It integrates a financial data provider API for stock data retrieval and implements real-time updates for stock prices.
University Registration System
Java
University Registration System
Engineered a Java-based application for efficient course tracking and student registration at a university. The system is designed to streamline processes for over 1000 students. It includes concurrent programming techniques that enable multiple students to register for courses simultaneously, increasing system throughput by up to 50%.
Modified Ribosome Simulation
Python
Modified Ribosome Simulation
Developed a Python program simulating a modified ribosome's functionality for building amino acid chains from RNA sequences. Implemented five special commands, including START, STOP, DEL, EXCHANGE, and SWAP, to manipulate the protein building process. Created functions to read codon mappings and evaluation orders from files, encode RNA sequences, decode amino acid chains, and operate on RNA sequences based on evaluation rules. Utilized data structures to store codon mappings and evaluation orders, ensuring efficient processing. Tested the program against various sequences and evaluation orders to verify its accuracy and functionality
Mad Raisin CPU
C Assembly
Mad Raisin CPU
Designed and implemented 10+ functions using bit operators and bit masking to extract and manipulate fields of MAD Raisin processor instructions. Developed functions to load and disassemble programs in memory. Increased understanding of hardware and assembly language concepts. Coded and maintained project using C on MobaXterm

Achievements

GitHub Arctic Code Vault Contributor

Contributed a new endpoint to the nba-api repository, now part of the GitHub Archive Program.

Dean's List
Dean’s List awardee from the University of Maryland’s College of Computer, Mathematical, and Natural Sciences.
Oracle Cloud Infrastructure Associate, OCI AI Associate, OCI Kubernetes Engine Specialist
Completed the Oracle Cloud Infrastructure Foundations Associate, OCI AI Associate, and OCI Kubernetes Engine Specialist certifications, demonstrating proficiency in cloud computing, AI, and container orchestration.
Split Advanced Feature Flagging Level 1 & 2
Completed the Split Advanced Feature Flagging for Engineers course, demonstrating expertise in advanced feature flagging techniques and best practices.
Administering Split
Completed the Split Administering Split course, demonstrating proficiency in managing and administering the Split feature flagging platform.
IT Certification
Completed 30 Hours of Training & Passed Assessments in Remote Support, Desktop Technology, Network Technology, Server Technology, Cloud Service Technology, Remote Support Scenarios.
AP Scholar With Distinction Award
Achieved an average score of at least 3.5 on all AP Exams taken, and scores of 3 or higher on five or more exams.
Research in Genome Computing
Collaborated with a team to Investigate a variety of DNA configurations and their impacts, enhancing comprehension of molecular organization and the binding behavior of enzymes and drugs.

Get in Touch

My inbox is always open. Whether you have a question, want to see my projects, or just want to say hi. I’ll try my best to get back to you!
Mail me