Soham Walimbe

AI/ML Engineer & Full-Stack Developer

Electronics & Communication Engineering student at MIT-WPU, Pune.
Building GenAI solutions, Computer Vision systems, and hardware-software integrations.

About Me

I'm an Electronics and Communication Engineering student specializing in AI and Machine Learning at MIT World Peace University, Pune (Expected Graduation: 2026).

I have hands-on experience building full-stack AI/ML solutions, computer vision systems, and hardware-software integrations. My focus is on deploying GenAI and Computer Vision solutions at the intersection of hardware and software.

Interned for 7 months at Tech Mahindra Ltd. (Makers Lab), where I work on Agentic RAG, LLM orchestration pipelines, and production-grade AI deployments.

1+ Years Internship Experience

4+ Projects Built

1 IEEE Publication

80% Manual Effort Reduced

Experience

AI ML Project Intern

Apr 2025 – Dec 2025

Tech Mahindra Ltd. (Makers Lab) · Hinjewadi Phase 3, Pune

AI and full-stack development intern under the Makers Lab division.
Researched and developed full-stack software using GenAI and Agentic RAG frameworks.
Implemented webhooks and APIs using Django, MongoDB, and SQL for 3+ client-based applications.
Led Computer Vision projects, utilizing image processing to automate routine tasks — reducing manual effort by 80%.
Streamlined R&D-to-production transitions using Git and CI/CD workflows.
Designed and deployed modular AI task orchestration pipelines chaining LLM calls, retrieval, and generation.
Integrated AI-assisted code reviewers; increased sprint delivery efficiency by 20%.
Authored technical documentation for AI-powered workflows including prompt engineering strategies.

Data Annotator Intern

Oct 2022 – Jul 2023

Wordlab Multilingual Translation Enterprises · Pune

Automated data extraction pipelines with Python scripts processing 15+ daily sources — reducing manual workload by 90%.
Optimized Google Bard AI performance through literature reviews and RLHF response refinement.
Conducted rigorous quality control on annotated datasets for high-fidelity model training.

Projects

IEEE Published

IoTide – Underwater Marine Life Detection

Developed an underwater marine life detection system using YOLOv8 with pretrained PyTorch datasets. Integrated ESP32-CAM for real-time image streaming, multiple water quality sensors (TDS, pH), and a live AI dashboard for fisheries and pond cultures.

YOLOv8PyTorchESP32-CAMIoTComputer Vision

IEEE Publication →

Full Stack AI

AI Ops Platform

Real-time AIOps platform with anomaly detection using Isolation Forest (scikit-learn), automated root cause analysis with LLM-based incident explanation (Ollama/Gemma 3), FastAPI backend for telemetry ingestion, Kafka streaming for high-throughput pipelines, and a React dashboard with live anomaly tracking.

FastAPIReactKafkaOllamascikit-learn

Python Library

PDF Detail Extraction Library

Python library for structured data extraction from PDFs — text, tables, and images. Implemented hybrid rule-based and library-based table detection (PyMuPDF, Camelot, PDFParser), converted image-based graphs to digital plots, and integrated AI post-processing for JSON-formatted structured outputs.

PythonPyMuPDFCamelotGenAI

RAG / LLM

LLM-Assisted COREP Reporting Prototype

RAG pipeline for regulatory reporting: ingests regulatory text into ChromaDB using LLM embeddings, retrieves relevant rules via vector search, passes context to a local Ollama LLM, and outputs structured JSON aligned to the COREP schema with regulatory justifications.

ChromaDBOllamaRAGLangChainPython

GitHub Repository →

Technical Skills

GenAI & Agentic AI

Agentic RAG Prompt Engineering LLM APIs (Gemini) LangChain AI Task Orchestration LLM Evaluation

Machine Learning

ML Algorithms DNNs Transformers YOLOv8 PyTorch Image Processing

Software & Backend

Python (OOP) Flask / FastAPI Django REST APIs MongoDB SQL

Data & Systems

Pandas NumPy Data Pipelines Kafka API Integration

Tools & Workflow

Git CI/CD n8n Automation Tableau PowerBI Docker (basics)

Education & Achievements

B.E. Electronics & Communication (AI/ML)

MIT World Peace University, Pune

2022 – 2026 (Expected) | CGPA: 7.09

HSC

Vishwakarma College of Arts Commerce and Science, Pune

2020 – 2022 | 68.67%

Achievements

🏆 HACK MIT WPU 2025 – Runner-Up (Ideathon & Workathon) for Project IoTide | Mar 2025

📜 National Academic Immersion Program in Full Stack Development – IIT Jodhpur | Jun–Jul 2024