Focused on Artificial Intelligence, Natural Language Processing, and Full Stack Engineering.
Building end-to-end software systems that combine machine learning with practical applications.
🌐 Portfolio: Visit my website ↗
I'm a third-year Computer Science undergraduate at JNTUH University College of Engineering, Science and Technology, Hyderabad, pursuing a degree in Computer Science and Engineering.
My primary interests lie in Artificial Intelligence, Machine Learning, Natural Language Processing, and Full Stack Development. I enjoy designing software that combines modern AI techniques with scalable backend systems, taking projects from model development and experimentation through deployment.
Most of my work focuses on building practical AI applications, including LLM-powered systems, semantic search pipelines, browser extensions, and database-driven web platforms that solve real-world problems.
I also serve as Design Head at E-Cell, JNTUH, leading visual identity and campaigns for campus startup events.
Projects are listed in the same order and with the same summaries as my portfolio.
A Chrome extension that extracts a news article, scores its political leaning on a −5 to +5 scale, and compares it with related Left, Center, and Right coverage. The first version combined LLM analysis with article retrieval. Version 2 uses an IndicBERT + Liquid Neural Network classifier, topic-filtered ChromaDB search, and Groq to explain differences in framing. The model reached 65.4% accuracy across 3 classes, against a 33% baseline, on 2,594 labelled articles.
What I built: model training pipeline and bias classifier; FastAPI backend and API design; ChromaDB retrieval with topic-anchor filtering; Groq explanations; Docker deployment and most of the Chrome extension.
Tech: PyTorch · IndicBERT · FastAPI · ChromaDB · Groq · Docker
Compares a résumé with a job description, identifies skill gaps, and builds a personalised day-by-day learning path with Llama 3.2 running locally through Ollama.
What I built: FastAPI backend; PDF résumé parsing and skill-gap analysis; local Llama 3.2 through Ollama; adaptive learning-path algorithm; skill mapping to the O*NET taxonomy.
Tech: FastAPI · LangChain · Ollama · Llama 3.2 · O*NET · Next.js
The first version of Indian News Comparator. Groq classifies article bias and extracts entities; ChromaDB finds related coverage first, with NewsAPI and The Guardian as live fallbacks for Left, Center, and Right perspectives.
Tech: Chrome extension · FastAPI · Groq · ChromaDB
A team delivery intelligence tool that brings meeting and standup commitments together with Jira updates and GitHub pull request and CI events. Deterministic rules flag delivery risks with traceable evidence; Hindsight keeps dated team memory, and the LLM explains verified evidence.
Tech: Python · FastAPI · Hindsight · GitHub webhooks · Team lead
A campus hub for academic resources, viva preparation, placement stories and opportunities, anonymous student Q&A, events, and searchable campus knowledge.
Tech: Next.js 16 · TypeScript · Tailwind CSS · PostgreSQL · Prisma · NextAuth.js
A local-first CLI and desktop app that records project decisions, commits, code changes, and test runs, then creates a concise handoff for the next AI coding agent. It works offline without an LLM.
Tech: Python · CLI · AI tooling
A desktop app for visually building Notion pages and databases from templates or blocks, previewing them, and publishing to a workspace. Its optional AI assistant generates pages locally on your device.
Tech: Flutter · Dart · Notion API
A Python linear-regression model built from scratch to predict startup revenue from marketing spend, calculate MSE, and plot its predictions without an ML framework.
Tech: Python · Matplotlib
A full-stack train-booking app with route search, multi-passenger reservations, payments, automatic seat allocation, and waitlist promotion after cancellations. I designed the Oracle SQL schema, constraints, and normalisation.
Tech: Oracle SQL
- Retrieval-Augmented Generation (RAG)
- Agentic AI Systems
- Transformer Architectures
- MLOps
- Distributed Backend Systems
- Scalable AI Deployment
- 🚀 Building Campus Loop, an AI-powered academic collaboration platform
- 🤖 Developing practical AI applications powered by LLMs
- 📚 Strengthening machine learning engineering and backend development skills
- 💼 Preparing for Software Engineering and AI internship opportunities
