AI & Machine Learning graduate focused on ML, NLP, Information Retrieval, and Learning-to-Rank research. Built real-world systems ranging from cancer prediction models to ML-based ranking engines. Seeking research-oriented graduate and assistantship opportunities.
Lords Institute of Engineering and Technology, Hyderabad (Osmania University)
Mahaveer Institute of Science and Technology
A Node.js-based CLI tool that captures and persists structured AI coding context-reasoning, decisions, and task state - alongside Git branches. It enables seamless continuation of AI-assisted development across sessions, IDEs, and devices without re-explaining project architecture or progress.
An End-to-End Machine Learning pipeline for price prediction, built using ZenML and MLflow.
An end-to-end machine learning project to predict silver prices for the Indian market.
FastAPI-based RAG API using ollama's TinyLlama and Chromadb for generating responses to user queries.
A dynamic pricing system for an online retailer using predictions served by ML models: A multi-layered Feedforward Neural Network, A Light GBM regressor and An Elastic Net, hosted on the containerized serverless architecture.
A real-time computer vision application that matches your facial expressions and hand gestures to iconic internet memes using MediaPipe's AI-powered face and hand detection.
Supervised Fine-Tuning (SFT) of a Small Language Model (SLM) for a specific task: extracting food and drink items from text. The fine-tuned model can process text inputs and return structured data about food/drink content.
Built and evaluated ML models using patient records to predict lung cancer outcomes. Published in academic journal.
Developed a machine learning model to predict outcomes of Premier League matches using historical data.
NLP model to detect and visualize trending topics from real-time text streams using a sequential approach.
Statistical analysis of La Liga's greatest forwards with visualizations including bar charts and radar diagrams.
Browser-based Life RPG that gamifies daily habits with quests, XP, levels, streaks, and achievements.
Responsive weather forecasting web app using OpenWeather API with PHP backend.
IoT-enabled Arduino system that controls street lights using IR and LDR sensors with real-time logic.
A practical guide to building RelayContext, a Node.js CLI tool that captures and persists structured AI coding context - reasoning, decisions, and task state - alongside Git branches. Learn how it enables seamless continuation of AI-assisted development across sessions, IDEs, and devices without re-explaining project architecture or progress.
An End-to-End Machine Learning pipeline for price prediction, built using ZenML and MLflow.
A deep dive into building a production-ready Retrieval-Augmented Generation system, using Hugging Face and FastAPI.
A deep dive into building a production-ready Retrieval-Augmented Generation system, covering architecture decisions, chunking strategies, and performance optimization.
A comprehensive analysis of machine learning algorithms for cancer prediction, examining accuracy, interpretability, and clinical applicability.
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ORCID