CS undergraduate building Agentic AI systems, ML pipelines, and production-ready AI workflows. Experience with autonomous agents, MLOps and real-time AI system
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Credit-card-fraud-detection
April 12, 2026 – Present
End-to-end credit card fraud detection system using XGBoost, FastAPI, and MLflow with an interactive real-time dashboard.
View ProjectLLM_GATEWAY
March 29, 2026 – Present
Cost-aware LLM gateway with semantic caching and complexity-based routing to reduce latency and API costs.
View ProjectMultiTool-Langraph-Agent
March 18, 2026 – Present
An autonomous AI agent built with LangGraph that can search the web, do math, look up Wikipedia, track time, and save notes to a database — all in a single reasoning loop. Deployed on Railway with real-time WebSocket streaming and LangSmith observability.
View ProjectAI_E-Learning-Platform
March 16, 2026 – Present
AI-powered multi-agent e-learning platform — 5 AI agents, 3 difficulty levels, full course generation. FastAPI + LangChain + Groq.
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily skewed towards AI/ML and backend Python development, which does not align with the 'Frontend Developer' target role. This indicates a potential mismatch in technical interests and career direction, suggesting a low cultural fit for a frontend-focused team.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's profile primarily showcases technical project work without details on collaboration, problem-solving approaches, or communication styles.