Engineering Intelligence.
Designing Mobility.
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
▸ Fine-tuned Llama on 500+ examples · 100% local GPU inference · zero cloud API cost · MLflow-tracked
Geospatial Predictive Maintenance
Anomaly Detection on Commercial Fleet Telemetry
▸ F1 0.82 on the minority fault class · SMOTE-balanced · interactive geospatial risk maps
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
▸ Image → branded hex palette in one pipeline · shipped in <2 weeks · Dockerised REST API
Field Trip Fighters — Adaptive RL Boss AI
Hybrid Q-Learning + PPO · Published Research Paper
▸ 95% win vs beginner AI, 72% vs advanced · 2,590 training episodes · peer-reviewed paper
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% risk identification · shipped to the collections team
Experience
Agent Engineer
Prodigal
May 2026 - Sep 2026
• Built production voice AI agents for US consumer-finance clients — multi-LLM orchestration on Vertex AI (Claude Sonnet for reasoning, Claude Haiku for deterministic RPC flows), with Twilio, TCN, and LiveKit telephony, Deepgram STT, and ElevenLabs TTS.
• Cut agent response latency >33% (3s → sub-2s) and worst-case latency 50% (6s → 3s).
• Built an evaluation suite on Cekura MCP to simulate calls and score agent behavior, tracing quality and failure modes across Langfuse, CloudWatch, and TrueFoundry.
• Supported live C-suite client demos alongside the GTM team, contributing to two signed enterprise deals.
Senior Assistant Engineer, AI & ML
Samsung India, Noida
Jan 2026 - Apr 2026
• Built and deployed 3 LLM-powered workflows from requirements through production, cutting manual reporting effort >60%.
• Designed a RAG pipeline integrating internal knowledge bases with LLM inference, reducing hallucination rate ~35% across 50+ evaluation cases.
• Built automated ETL pipelines processing 10,000+ daily records, exposed via FastAPI REST APIs and shipped with CI/CD through GitHub Actions.
• Nominated for Samsung's advanced AI training program in Vietnam — a selective initiative for the top 2% of AI engineering interns nationally.
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 3.19/4.0MPSTME, NMIMS University | 2021 - 2026