AI & ML Engineer | Building Multi-Agent LLM Systems with CrewAI & LLaMA 3 | M.Tech Data Science @ RIT Kottayam | Open to AI Roles

Bengaluru, Karnataka, India

Remote







Master of Technology, Data Science
APJ Abdul Kalam Technological University (KTU), Thiruvananthapuram
Join RIFA and 10k+ other professionals on
Tal is the app where bosses meet engineers & builders directly, without middlemen
Download Tal BossAI & ML Engineer | Building Multi-Agent LLM Systems with CrewAI & LLaMA 3 | M.Tech Data Science @ RIT Kottayam | Open to AI Roles
AI-driven Data Scientist building intelligent systems that solve real-world problems. I specialize in Machine Learning, Deep Learning, and LLM-powered applications — currently architecting a Multi-Agent AutoML pipeline using CrewAI, LLaMA 3, and Explainable AI (SHAP/LIME) What I build: • Multi-Agent AI systems with autonomous decision-making • Deep Learning pipelines (CNN + Vision Transformer hybrids) • End-to-end ML apps with Django, Streamlit & FastAPI • Explainable AI dashboards for transparent model outputs My stack: Python · PyTorch · TensorFlow · Scikit-learn · LangChain · CrewAI · LLaMA 3 · RAG · SHAP · OpenCV · Django · Streamlit 🎓 M.Tech Data Science — RIT Kottayam (2025–Present) 🎓 B.Tech Computer Science — MES College of Engineering I'm passionate about bridging the gap between academic AI research and production-ready systems. Currently open to internship and full-time roles in Data Science, ML Engineering, and AI Development. 📩 Reach me: rvpzacharia@gmail.com
Tirur
antigravity
claude code
claude
ollama
openai
CrewAI
Artificial Intelligence Intern at Expleo Group, Aug 2026 - Present · 3 mos, Bengaluru, Karnataka, India
Data analyst Intern at Bluestock™🔺, May 2026 - Jul 2026 · 3 mos, Remote, Built an end-to-end Mutual Fund Analytics Platform as part of a 7-day capstone project. Developed a Python ETL pipeline ingesting 10 real AMFI datasets (87K+ rows) and live NAV data via mfapi.in REST API. Designed a 5-table SQLite star schema, performed EDA with 15+ charts (Pandas, Seaborn, Plotly), and computed risk-adjusted performance metrics including Sharpe Ratio, Sortino Ratio, Alpha, Beta, CAGR, and Max Drawdown across 40 real mutual fund schemes. Built an interactive Power BI dashboard with 4 report pages covering fund performance, investor analytics, and industry trends.
Master of Technology, Data Science, APJ Abdul Kalam Technological University (KTU), Thiruvananthapuram
github: https://github.com/rvpzacharia-ai