AI Engineer | Backend Developer
Building Production-Ready, LLM-Driven Applications.
About Me
AI Engineer and Backend Developer with a strong Computer Science foundation (9.1 CPI). Experienced in building production-ready, LLM-driven applications using RAG, Python, FastAPI, and models from Google Gemini and Hugging Face.
Technical Skills
Soft Skills
Experience
Machine Learning Intern at CodSoft
May 2024 | Remote
- Developed a movie genre prediction model using Multinomial Naive Bayes (71.25% accuracy).
- Implemented a Random Forest model for credit card fraud detection (79.55% accuracy).
- Designed an SMS spam classification system using TF-IDF (89.09% accuracy).
Projects
WordForge – LLM-Powered Blog Generator
Developed a FastAPI backend integrating an LLM to generate blog posts from user prompts, with a Streamlit frontend and PostgreSQL for storage.
SentinelRAG – Security Log Copilot
Built a conversational assistant to analyze security log files using a RAG pipeline with Hugging Face embeddings and a FAISS vector store.
DocuMind – Document QA Bot
Enabled users to upload multiple files and query them conversationally, using FAISS vector search for efficient, context-aware responses.
ResumindAI – Resume Analyzer
Created a tool that provides in-depth resume analysis for ATS compatibility, keyword matching, and job-fit scoring using an LLM.
Get in Touch
I'm always open to discussing new projects, creative ideas, or opportunities. Let's build something amazing together.
Mail Me :)