Open to AI · ML · SDE Roles — Mumbai

Engineering Intelligence.
Designing Mobility.

Agentic AI engineer specialising in MCP-orchestrated pipelines, production RAG systems, LLM fine-tuning, and computer vision — building AI that reasons, retrieves, and acts autonomously. Driven by the same precision-engineering mindset I bring to automotive architecture.

kbedi03@gmail.com

+91 7021484750

Mumbai, Maharashtra

What I Build

AI / ML Projects

All 11 projects

Agentic AI

Agentic RAG Pipeline

LangChain Agents, ChromaDB & Llama Fine-Tuning

▸ 500+ post training dataset · Zero cloud cost · Full local GPU stack · MLflow experiment tracking

LangChain AgentsChromaDBRAGLlama (Fine-Tuned)CUDA+5

Automotive AI

Geospatial Predictive Maintenance

Anomaly Detection on Commercial Fleet Telemetry

▸ F1-score: 0.82 · SMOTE class balancing · Interactive geospatial risk maps · Reduced manual fleet monitoring

PythonScikit-learnSMOTEPandasNumPy+5

Computer Vision

Breast Cancer Detection

Medical Imaging CNN Pipeline

▸ 96.5% validation accuracy · CUDA-accelerated training · Streamlit inference UI

PythonTensorFlowKerasCNNCUDA+4

GenAI

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

PythonFastAPIOpenCVGemini Vision APIDocker+2

Reinforcement LearningPublished Research

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

PythonGodot EnginePPOQ-LearningN-gram Pattern Recognition+3

Computer Vision

AI-Based Timetable Detection

Computer Vision + Gemini Vision API

▸ Unstructured image → structured schema · End-to-end automation · Reliable post-processing validation

PythonGemini Vision APIComputer VisionImage PreprocessingPrompt Engineering+2

ML · FinTech

Loan Default Prediction

ML Risk Scoring Model — Inditrade Capital

▸ 78% precision on high-risk accounts · 30% improvement in risk identification · Deployed to collections team

PythonRandom ForestsScikit-learnSMOTEPandas+5

Experience

Senior Assistant Engineer (Intern)

Samsung India, Noida

Jan 2026 - Present

• 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

Python for AI/MLMachine Learning (Supervised & Unsupervised)Computer Vision (OpenCV, Image Processing)Agentic AI SystemsMCP (Model Context Protocol)Data Preprocessing & Feature EngineeringModel Evaluation & OptimizationPandas & NumPySQL (MySQL) for Data PipelinesETL & Data PipelinesREST APIs & AI IntegrationPower BI (AI-driven Analytics)Data VisualizationGit & Docker

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