I build end-to-end ML systems — from raw data to production. Reinforcement learning, multi-agent AI, and LLM pipelines that actually ship.
B.Tech in AI & Data Science at SJCET Palai. I don't just train models — I ship them. Every project in my portfolio went from raw data to a deployed, working product. Reinforcement learning agents. Multi-agent AI platforms. LLM pipelines. All in production.
I'm looking for a team that moves fast and builds real things. Pathanamthitta, Kerala — open to anywhere.
Multi-agent AI platform for farmers. Vision, Climate and Satellite agents — real-time crop disease detection, live market signals, AI chat. Shipped independently to Vercel.
View on GitHubPPO agent on financial time-series with custom reward functions and domain-specific state features. Outperformed baseline statistical hedging by ~80%.
K-Means clustering across 5 behavioural segments with Logistic Regression churn classifier. Live Streamlit inference dashboard for real-time predictions.
Agentic NLP pipeline transforming raw YouTube transcripts into structured study notes and Q&A pairs via LLaMA 3.1. Zero manual processing post-deployment.
EDA and Linear Regression on 2,000+ customer records. Surfaced $61.27/$38.59/$25.98 annual spend drivers per unit — coefficient-level business insight.
Neural game agent trained via genetic algorithms — gradient-free optimisation, fitness-based selection across generations for real-time decision-making.
End-to-end pipelines — data prep, training, evaluation, serialised deployment-ready models. Classification, regression, clustering, reinforcement learning.
EDA, feature analysis, interactive Streamlit and Plotly dashboards. Stakeholder-ready insight from raw data.
Prompt engineering, multi-agent orchestration, unstructured-to-structured pipelines using LLaMA 3 and Groq API.
FastAPI backends, React frontends, Vercel deployments. Production-ready AI applications built and shipped independently.
Open to internships, entry-level roles, and select freelance projects. India and remote.