Headline

Machine Learning Engineer | I help companies build production-ready LLM & RAG systems with 94% accuracy | GenAI, PyTorch, NLP | MLOps | FastAPI

About

Machine Learning Engineer delivering production-ready GenAI systems with deep expertise spanning LLMs, RAG pipelines, and NLP architecture across multiple production deployments. I build and deploy ML models achieving 94% accuracy in real-world classification, serving REST APIs handling live inference at scale for healthcare and enterprise clients. What I Deliver: → Production LLM & RAG Systems: Hugging Face Transformers, LangChain, prompt engineering architectures that reduce false positives by 65% → Deep Learning Architecture: PyTorch, TensorFlow, custom CNN/Transformer models for NLP, predictive modeling → API Deployment: FastAPI, Flask, REST endpoints for real-time ML inference with 86% test accuracy → MLOps Engineering: Reproducible pipelines, versioning, CI/CD, production-aware systems — not notebooks, not toy demos Core Stack: Python (primary) | PyTorch | TensorFlow | HuggingFace | LangChain | RAG | FastAPI | Flask | AWS | Git | Docker My Approach: I treat ML engineering the same way a senior software engineer treats system design — with structure, scalability, and production-readiness from day one. My GitHub includes complete end-to-end systems: RAG-based applications, full NLP pipelines, deployed inference endpoints. I don't build experiments; I build production assets. Recent Impact: • Spam detection system (CNN + Transformer): 83% generalization accuracy, 65% false positive reduction [Unified Pvt Ltd] • Heart rate prediction (Linear Regression): 78% accuracy on healthcare datasets, Flask API deployed [Codec] • Geospatial ML integration: 9-day sprint mastering location-based feature engineering [ISRO Certification] Roles I'm Seeking: ML Engineer | AI Engineer | NLP Engineer | GenAI Engineer | Machine Learning Scientist Full-time / Internship / Contract — Remote | Hybrid | On-site (Bengaluru, Lucknow, Rajapur) If you're building LLM-powered products, scaling ML research to production, or need RAG systems that work — let's connect. 📧 Email: shivdeepmi7080@gmail.com 💻 GitHub: SHHIVDEEP310 📍 Location: Eiffel city Chakan ,pune → Open to whole world

Location

Pune/Pimpri-Chinchwad Area

Work experience

Machine Learning Engineer at Codec, Jan 2026 - Mar 2026 · 3 mos, Luknow, • Built predictive ML models using TensorFlow on healthcare datasets; developed heart rate prediction system with Linear Regression achieving 78% accuracy through feature selection and statistical analysis • Created Flask REST API for real-time model inference and deployed locally for production use • Conducted model evaluation using accuracy, precision, recall, and F1-score metrics

Machine Learning Engineer at Unified Private Limited, May 2025 - Jul 2025 · 3 mos, Lucknow, Engineered a spam detection system using CNN + Transformer architecture (PyTorch) that reduced false positives by 65%, improving classification reliability for production email pipelines. Optimized via hyperparameter tuning to achieve 83% generalization accuracy on unseen data. • Built customer churn prediction model using machine learning algorithms achieving 86% test accuracy with hyperparameter tuning and cross-validation techniques • Performed data cleaning, exploratory data analysis, feature engineering, and comprehensive model evaluation

Education

B-tech, Computer Science, SHRI RAMSWAROOP MEMORIAL UNIVERSITY