Building AI That Works Beyond the Demo | RAG • Agentic AI • LLM Engineering | AI Engineer@Great Learning
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Great Learning
Data Scientist
June 16, 2026 – Present
Multi-Agent-LinkedIn-Content-Generation-Pipeline
March 8, 2026 – Present
This project implements a multi-agent LinkedIn content generation pipeline (Research → Alignment → Writing → Critique) for generating high-quality LinkedIn posts). Structured JSON parsing, prompt engineering, and agent routing has been implemented to improve output reliability and reasoning depth.
View ProjectGenAI_Powered_YouTube_Automation
February 22, 2026 – Present
This project solves a critical problem for a client having YouTube Channel. It aims to automate the entire lifecycle : Creating SEO friendly Description --> Researching for highly relevant and trendy keywords and tags --> Posting all the information on YouTube Video, by leveraging GeminiAPI and YouTube API.
View ProjectEdtech_BI_Copilot
February 17, 2026 – Present
AI-powered analytics co-pilot for business decision makers. Data Summary and Report generation in seconds using Natural Language powered by powerful backend on FastAPI and UI friendly frontend on Streamlit.
View ProjectECCN-Trade-Compliance-RAG-Classification-System-
February 3, 2026 – Present
Engineered a RAG based system using FAISS, BGE embeddings, and Gemini LLM to classify products into correct ECCNs with regulatory-safe reasoning. Improved Recall@5 from 65% to 86.5% by optimizing leaf-node retrieval, semantic embeddings, and constrained LLM decisioning via a production-ready FastAPI service.
View ProjectRAG_Based_ECCN_Classifier
February 3, 2026 – Present
This project implements an intelligent REST API to automatically classify products into their correct (ECCN) based on free-text technical descriptions.The solution uses a Retrieval-Augmented Generation (RAG) architecture with open-source embeddings, FAISS vector search, and an LLM for controlled decision-making.
View ProjectAgentic-AI-Blog-Writer-using-CrewAI
January 26, 2026 – Present
A multi-agent AI system built with CrewAI and Google Gemini that autonomously researches any topic and transforms it into a simple, engaging blog. It demonstrates real-world Agentic AI by orchestrating specialized agents in a clean, end-to-end content pipeline.
View ProjectRetail-Sales-Analytics-Pipeline
July 28, 2025 – July 28, 2025
It is a project to understand end to end data engineering flow from data ingestion, to ETL, and querying the data.
View ProjectTheraBank-LoanAnalysis
August 17, 2024 – August 17, 2024
EDA and predictive modeling to identify likely personal loan customers for Thera Bank.
View ProjectEmployee-Promotion-Prediction-Analytics
August 16, 2024 – August 16, 2024
A Classification Project using F1_Score as the evaluation Metric
View ProjectIntelligent-Movie-Recommendation-App-utilising-TMDB-Api
June 16, 2024 – July 2, 2024
End to End Machine Learning Project using Content Based Filtering
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong interest in cutting-edge AI/ML technologies, particularly Generative AI and RAG systems. This aligns well with an innovative and forward-thinking culture. The diversity of projects, from classification to recommendation systems and multi-agent AI, indicates adaptability and a broad technical curiosity. However, the lack of team-based projects or professional experience details makes it challenging to fully assess cultural fit regarding collaboration and organizational dynamics.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and problem-solving mindset, particularly in leveraging AI for automation and classification. The focus on personal projects suggests self-motivation and continuous learning. However, without psychometric test results or interview data, it's difficult to assess specific soft skills like teamwork, stress handling, or communication clarity in a professional setting.