ML
who_am_i — bhaumik_yadav.init()

Bhaumik Yadav

ML Engineer / Full Stack Developer / Computer Vision / NLP

ML Engineer & Full Stack Developer specializing in deployed AI systems — from GPU-accelerated computer vision to legal document intelligence with 4-bit quantization. Currently Programmer Analyst at Argusoft; previously Research Intern at DRDO. Bridging research and production with Python, FastAPI, SpringBoot, and a bias for measurable impact.

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DRDO
Research
6+
Projects
4+
Internships
100%
Optimization
Bhaumik Yadav
01 / Capabilities

What I Build

ML Research & Model Dev
Designing and optimizing models across the full lifecycle — from data preprocessing to GPU-accelerated inference.
Computer Vision
Real-time object detection with YOLOv8/v11, TensorRT quantization, and ONNX deployment pipelines.
NLP & Text Intelligence
TF-IDF, TextRank, transformer embeddings, BERT benchmarking, and semantic classification systems.
Backend & API Engineering
Scalable REST APIs with FastAPI & Flask, ML model serving, Docker containerization, and CI/CD pipelines.
Data Analytics
EDA pipelines, Power BI dashboards, and statistical modeling for enterprise-level business intelligence.
Full-Stack AI Products
End-to-end SaaS ML applications from concept to Vercel/cloud deployment with modern web frontends.
02 / Background

About Me

// core_profile.txt

Machine Learning Engineer and Full Stack Developer specializing in building deployed ML models through API-based web applications. Experienced in developing and deploying ML models for classification, computer vision and NLP applications using Python, FastAPI and Scikit-learn. Built multiple full-stack ML products integrating model inference with web applications and analytics dashboards. Strong focus on model deployment, backend architecture and performance optimization.

Mission

Enthusiastic B.Tech. CS student with expertise across the complete ML lifecycle — bridging Front-End Development, Data Science, and ML Engineering to deliver intelligent, scalable systems.

Research Focus

Hands-on experience in Computer Vision and NLP, applying advanced ML techniques to real-world challenges. Specializing in critical thinking, prediction modeling, and high-impact B2B solutions.

Leadership

Proven collaborative leadership: mentoring peers in ML and software practices, driving measurable results through structured teamwork and technical excellence.

Engineering Philosophy

Proficient in Python/Java backend development — scalable REST APIs, ML model integration into production pipelines, and end-to-end full-stack AI applications with focus on reliability and cloud scalability.

Consulting Experience

Skilled in IT/ML consulting with practical experience delivering SaaS-based products, enterprise data systems, and industry-specific AI applications across diverse verticals.

Vision

Deeply passionate about innovation, with a long-term vision of advancing Data Science, Generative AI, and ML through impactful, ethically responsible solutions.

03 / Tools

Tech Stack

Python
FastAPI
Flask
Django
SpringBoot
TensorFlow
PyTorch
YOLOv8
Scikit-learn
NumPy
Pandas
Docker
CUDA / TensorRT
Python
FastAPI
Flask
Django
SpringBoot
TensorFlow
PyTorch
YOLOv8
Scikit-learn
NumPy
Pandas
Docker
CUDA / TensorRT
React
Angular
JavaScript
PostgreSQL
Redis
AWS
GCP
Git
Supabase
Power BI
MLflow
Ollama (Llama 3)
React
Angular
JavaScript
PostgreSQL
Redis
AWS
GCP
Git
Supabase
Power BI
MLflow
Ollama (Llama 3)
04 / Career

Experience

Jan 2026 – Present
Programmer Analyst
Argusoft
  • Engineered backend REST APIs using Java (SpringBoot), supporting internal product features and improving system integration.
  • Integrated AI-based automation modules into application workflows to enhance data-driven decision processes.
  • Improved backend query performance through database optimization and caching strategies.
  • Collaborated with an 8–10 member engineering team in feature development and product deployment.
Jul – Aug 2025
ML Consulting Intern
Aurigence Technologies
  • Built full-stack SaaS-based ML solutions tailored to industry-specific problems.
  • Proposed better-performing ML models for market placement and competitive differentiation.
  • Analyzed structured and unstructured data for leadership-level strategic presentations.
  • Conducted market research identifying innovation gaps and AI growth opportunities.
Feb – Jun 2025
Research Intern
DESIDOC · DRDO
  • Authored comparative analysis of LLMs vs. LCMs for defense AI applications.
  • Benchmarked NLP/NLU models including BERT, RNN, LSTM, and RASA.
  • Built TF-IDF text classification model outperforming all baseline approaches.
Nov – Dec 2024
ML Intern
TagBin
  • Deployed YOLOv8 & YOLOv11 real-time object detection systems into production.
  • Conducted qualitative data assessments, improving training pipelines for robustness.
  • Integrated ML models into client projects ensuring scalability and measurable gains.
Mar – Apr 2024
Front-End Developer
Spectar Group
  • Designed responsive static and dynamic websites improving user engagement.
  • Delivered lightweight, scalable solutions using ReactJS and ExpressJS.
  • Integrated Flask-based real-time features for dynamic user interaction.
Jul – Aug 2023
Technical Intern
Staysafe Solutions
  • Automated static timesheets reducing manual effort and improving accuracy.
  • Built lightweight web apps with ReactJS and ExpressJS for operational workflows.
  • Developed Flask real-time applications for faster client-side processes.
05 / Work

Projects

PROJECT / 01
Fire & Smoke Detection Software
Production-ready CV API for real-time detection using YOLOv8, FastAPI, and NVIDIA CUDA acceleration with TensorRT FP16 quantization.
YOLOv8 TensorRT FastAPI CUDA
PROJECT / 02
Quantized Legal Retrieval System - plAIntiff RAG
Privacy-preserving AI for legal document intelligence — 4-bit quantization (TurboQuant) cuts memory footprint by ~75%, with async GPU concurrency control and siloed multi-tenant architecture.
4-bit Quant FastAPI Ollama CUDA
PROJECT / 03
HR Attrition Prediction System
Enterprise full-stack ML app with predictive analytics, Power BI dashboards, and real-time API-driven insights deployed on Vercel.
Random Forest Flask Power BI Vercel
PROJECT / 04
Heart Disease Prediction (ANN)
AI-driven healthcare application leveraging Artificial Neural Networks for early cardiovascular risk prediction with Flask API serving.
TensorFlow Keras Flask ANN
PROJECT / 05
Keyword Extraction Engine (NLP)
NLP pipeline using TF-IDF, TextRank, and Transformer embeddings to extract high-value keywords for search optimization and semantic analysis.
SpaCy TextRank LangChain NLTK
PROJECT / 06
Spam Detection & Sentiment Classifier
Email intelligence pipeline combining Naive Bayes spam detection and sentiment analysis, deployed via Flask API with a live web interface.
Naive Bayes NLTK Flask Docker
06 / Documents

Resume

Full Curriculum Vitae

Download or view my complete resume covering education, internship experience,
projects, and technical skills — updated 2025.

Open Resume
07 / Community

Positions of Responsibility

President
DataVerse · IMS Engineering College
Leading the official Data Science community of IMS Engineering College with 600+ active members — organizing workshops, talks, and ML project collaborations.
Student Coordinator
Tech Triumphs Hackathon · IMS Engineering College
Coordinating the college hackathon community (150+ members) — managing event logistics, team formation, and participant mentoring across technical competitions.