Working on AI agents for targeted Monte Carlo simulations bias across Indian socio context for healthcare and judiciary domains.
Working on text-to-SQL using agentic workflows and novel frameworks.
LLM fairness & constitutional alignment; dataset creation and evaluations.
A Multi-level Bias Elimination through a Decoding Approach with Knowledge Augmentation for Robust Constitutional Alignment of Language Models
MIT Tech Review, TACL Review
Production RAG systems, Microservices Architecture, API-level SQL converters
CGPA: 8.14
Gold Medalist | Qualified NSEC Exam, School Topper in NGSE Exam
I have a deep interest in several technical domains, including:
Outside the technical realm, I am passionate about:
Java, LibGDX, OOPS, In-game mechanics, Event-Driven programming.
This project is a clone of the Tank Stars game using LibGDX framework, featuring object-oriented principles, dynamic terrain, and customizable multiplayer settings.
SQL, OLAP queries, Triggers, Database Design.
An online database management system that manages inventory, sales, and prescriptions for a retail pharmacy incorporated with olap queries and trigger systems.
Python, TF-IDF, BERT, Gemini AI, Information Retrieval
• Developed a BERT-based platform for matching resumes to job postings, achieving high performance metrics with precision, recall, and F1 scores between 0.98 and 0.99. Integrated a resume optimization feature through the Gemini AI API.
LLM FineTuning, Collaborative Filtering, CNNs, TF-IDF
Machine Learning, SSSpy, librosa
Implemented signal source separation using classical ML techniques, achieving 20+ dB Signal- to-Noise Ratio in separating voice and background music.
Shell, OS, CLI, Threading
Implemented a shell utilising commands like mkdir, ls, date, cd, echo, cat, pwd, and rm. Enhanced features include symbolic link handling, output redirection and support for threading and forking for external commands.
FastAPI, Backend, Python, FIFO Accounting, Decimal Safety
A small, clean backend that records trades, shows current portfolio, and computes realized & unrealized PnL. Single-user, in-memory, FIFO accounting with Decimal safety and a simple FastAPI surface.
R, RStudio, Kuznets Curve, Regression Analysis, Statistical Testing
Formulated a robust multiple regression model to explore groundwater quality and socio-economic impact, establishing insights for sustainable development. Presented findings and statistical tests through detailed reports to support data-driven decision-making.
Deep Learning, CNN, HAM10000, Jupyter, Medical AI
Built a deep learning model to classify skin lesions using the HAM10000 dataset, focusing on distinguishing between benign and malignant types, with a web interface for real-time analysis.