Building innovative solutions with AI, Machine Learning, and Full-Stack Engineering.
Driven by a relentless work ethic and a passion for solving meaningful problems. From optimizing RAG systems to building production-ready applications, I thrive on taking ownership and delivering results.
I'm a Computer Science Honors student at Stony Brook University with a deep passion for Artificial Intelligence and Machine Learning.
My journey over the last two years has been a rapid cycle of learning, building, and adapting. I thrive in environments where I can dive headfirst into challenges and take ownership from start to finish.
At Mailgator.AI, I built a complete CI pipeline from scratch, accelerating QA runtimes by 26Γ. At Stony Brook's LUNR AI Lab, I optimized research pipelines and fine-tuned CodeLlama-7B, improving RAG accuracy and achieving 73.5% faster benchmark runtimes.
What drives me isn't just technical skillβit's a relentless work ethic and genuine curiosity. When frustrated with generic phone notifications, I taught myself Kotlin and built NotiSentry, an AI-powered notification filter. This scrappy, problem-solving approach defines how I tackle challenges.
I'm looking for opportunities where I can contribute to a larger vision, learn from talented teams, and apply my "builder, owner, partner" mindset to real-world problems. Let's connect!
| Skillsβ’ Programming Languages: MIPS, Python, Java, C, Kotlin (for Android Jetpack Compose), OCaml, JavaScript, HTML/CSS.
β’ Frameworks & Libraries: TensorFlow, LangChain, HuggingFace, OpenCV, Pandas, NumPy, Flask, Bootstrap
β’ Developer Tools & Platforms: Docker, AWS, Git, GitHub, Linux/Unix, HPC Clusters (Slurm), MySQL, SQLite3
| Educationβ’ Degree: BSc Computer Science, Specializing in AI and ML
β’ University: Stony Brook University, New York, USA
β’ CGPA: 3.931
β’ Honors: SUNY SOAR Research Fellow, URECA Fellow, Computer Science Honors, University Scholars, Dean's List 2023 - 2025
β’ Awards: Academic Achievement Award, YouAreWelcomeHere Award, Global Excellence Award
β’ Relevant Coursework: Object-Oriented Programming, Data Structures, System Fundamentals, Linear Algebra, Probability and Statistics, Discrete Math, Calculus I & II
| Hobbiesβ’ Photography: I love taking photographs of landscape, nature and the nightsky. Check out some of the pictures I have taken on my Instagram!
β’ Sailing: I recently started sailing with the Stony Brook University's Sailing Club and I am a huge fan now. I absolutely love sailing!
β’ Sketching: I recently bought a new iPad Air and I have been learning how to sketch on it. So far... I'd say for someone who has never touched a sketch pen before, I am doing pretty decent.
β’ Video Games: When I am not taking photographs and editing them, not sailing or sketching then I am probably playing video games. It is one of my favourite indoor passtimes.
Mailgator | Palo Alto, CA (Hybrid)
LUNR AI Lab | Stony Brook University, NY
Humanity Unleashed (humun.org) | Remote
University Scholars Fellowship | Stony Brook University, NY
iGEM, Stony Brook University | Stony Brook, NY
Faculty Student Association at Stony Brook University | Stony Brook University, NY
Omniscience Corporation, Palo Alto, CA | Remote
Highlighting my most impactful work in AI, systems programming, and full-stack development
Built a local-first, AI-powered command-tracking system (FastAPI, ReactJS, MongoDB) that streams shell activity (<1s latency), performs PII scrubbing, and semantically indexes commands for natural language search and automatic project-based organization.
GitHub Project DevpostOptimizing system performance to <1% battery drain over 5 hours and achieving 1.3s worst-case latency for an intelligent notification filtering and summarization app to minimize user distractions and improve focus using Firebase Gemini API and Jetpack Compose.
GitHub Project (WIP)Refactored research implementation of REPLUG to enable LM-Supervised Retrieval (LSR) fine-tuning for code generation tasks by architecting a high-performance training pipeline with a local vLLM server.
GitHub Project (Coming Soon)Implementation of core functions for a Red-Black Tree data structure, written entirely in MIPS assembly language, focusing on low-level memory operations, register conventions, and complex balanced data structures.
GitHub ProjectIn-memory emulation of a Linux-like filesystem written entirely in C, managing core filesystem structures like i-nodes and data blocks, handling memory allocation, and implementing a hierarchical file and directory system from the ground up.
GitHub ProjectMulti-threaded poker server built in Java supporting concurrent client connections, game state management, and real-time gameplay with robust error handling and network communication.
GitHub ProjectImplementation of the single-player puzzle game "Skyscrapers" in C, including both an interactive version and an automatic solver based on logical heuristics.
GitHub ProjectLow-level data manipulation in C, implementing a custom network protocol (AFLENT) and a block cipher for data encryption/decryption with byte and bit-level computations.
GitHub ProjectImage processing program implementing the Sobel operator algorithm to detect edges of objects in images.
GitHub ProjectJava program for comparing text files and checking authorship similarity using cosine similarity algorithms.
GitHub ProjectJava simulation of a social media network using graph data structures to model followers and followings.
GitHub ProjectImage processing program applying box blur algorithm to images, optimized for images under 800x800 pixels.
GitHub ProjectImage filter applying black and white conversion by averaging RGB values of each pixel.
GitHub ProjectJava implementation of the Playfair cipher for encrypting and decrypting text.
GitHub ProjectJava tool for tracking C code blocks and variables initialized/updated within them.
GitHub ProjectJava simulation of a complete hiring system manager for job applicants.
GitHub ProjectC program that validates credit card numbers using the Luhn algorithm.
GitHub ProjectTargeting 2 ACL 2026 publications on RAG for code generation with CodeLlama-7B fine-tuning
LUNR AI Lab, Stony Brook University
CGPA: 3.931 | Computer Science Honors
SUNY SOAR Research Fellow, URECA Fellow, University Scholars, Dean's List 2023-2025
Accelerated QA runtimes by 26Γ at Mailgator.AI
Achieved 73.5% faster benchmark runtimes vs. existing RAG baselines
Published 5 datasets to HuggingFace with 1,400+ downloads
Active contributor to AI/ML research community