Engineering Intelligence.
Designing Mobility.
Agent Engineer at Prodigal, building agentic AI for consumer finance — voice agents and orchestration for collections calls. I specialise in MCP-orchestrated pipelines, production RAG, and LLM systems that reason, retrieve, and act autonomously — with the same precision-engineering mindset I bring to automotive architecture.
What I Build
AI / ML Projects
Agentic RAG Pipeline
LangChain Agents, ChromaDB & Llama Fine-Tuning
▸ 500+ post training dataset · Zero cloud cost · Full local GPU stack · MLflow experiment tracking
Geospatial Predictive Maintenance
Anomaly Detection on Commercial Fleet Telemetry
▸ F1-score: 0.82 · SMOTE class balancing · Interactive geospatial risk maps · Reduced manual fleet monitoring
Breast Cancer Detection
Medical Imaging CNN Pipeline
▸ 96.5% validation accuracy · CUDA-accelerated training · Streamlit inference UI
AI Color Palette Generator
Computer Vision Pipeline + Gemini Vision API
▸ End-to-end in < 2 weeks · REST API containerised with Docker · Multi-step agentic tool pipeline
Field Trip Fighters — Adaptive RL Boss AI
Hybrid Q-Learning + PPO · Published Research Paper
▸ 95% win rate vs beginner AI · 72% vs advanced AI · 2,590 training episodes · Published at NMIMS MPSTME
AI-Based Timetable Detection
Computer Vision + Gemini Vision API
▸ Unstructured image → structured schema · End-to-end automation · Reliable post-processing validation
Loan Default Prediction
ML Risk Scoring Model — Inditrade Capital
▸ 78% precision on high-risk accounts · 30% improvement in risk identification · Deployed to collections team
Experience
Agent Engineer
Prodigal
May 2026 - Present
• Building agentic AI for consumer finance, focused on collections calls — voice agents, orchestration, and production LLM pipelines.
• Designing MCP-orchestrated systems that reason, retrieve context, and act autonomously in regulated financial workflows.
• Shipping production RAG and tool-calling architectures for real-time customer interactions at scale.
Senior Assistant Engineer (Intern)
Samsung India, Noida
Jan 2026 - May 2026
• Built AI-driven computer vision pipelines for defect detection and pattern analysis.
• Developed ETL workflows using Pandas, NumPy, and MySQL for large-scale data processing.
• Created Power BI dashboards to visualize operational metrics and defect trends.
• Collaborated with cross-functional teams to drive ML-based process optimization.
Technical Arsenal
My Leadership Journey
President
4C Marketing Cell, NMIMS MPSTME
2025 - Present
Lead a 100-member club delivering consulting-style marketing events where companies present real business challenges and student teams develop and present actionable solutions.
Vice President
Innovation and Entrepreneurship Cell, NMIMS MPSTME
2024 - 2025
Led an 18-member cross-functional team to build and launch iecnmims.com, automate club workflows, and produce the Innovision podcast with partner brands.
Head of Digital Creatives
Taqneeq 17.0
2023 - 2024
Directed digital branding and social media strategy, establishing a cohesive visual identity and managing Instagram content and brand collaborations for the university tech fest.
Head of Technical Department
Innovation and Entrepreneurship Cell
2023 - 2024
Led Next.js development and GitHub-based collaboration, mentoring the technical team across two cohorts.
Education
B.Tech in Artificial Intelligence
CGPA 3.16/4.0MPSTME, NMIMS University | 2021 - 2026