Aspiring AI/ML Engineer - Python, DL, MLOps

MADHAN KUMAR VS

Cuddalore, TN — +91-944******* — *************@*****.***

LinkedIn: MadhanKumarVS

CERTIFICATIONS

AI/ML Engineer with hands-on internship experience in Deep Learning, Computer Vision, and Edge AI deployment. Proficient in end-to-end ML pipelines — from model training to production deployment using PyTorch, TensorFlow, FastAPI, and Docker. Experienced with LangChain, RAG

(Retrieval-Augmented Generation), FAISS, and HuggingFace for LLM and GenAI applications. Skilled in MLOps — MLflow, CI/CD, and REST API deployment. Delivered production-ready AI solutions for Volvo & TVS on NVIDIA edge hardware. AWS Certified ML – Specialty. EDUCATION

ACADEMIC PROJECTS

PROFESSIONAL SUMMARY

PROFESSIONAL EXPERIENCE

Programming: Python, C++

AI/ML & DL: Machine Learning, Deep Learning, CNN, RNN/LSTM, Transformers, NLP, Generative AI, scikit-learn LLM & GenAI: LangChain, RAG, LLM Fine-Tuning, Prompt Engineering, FAISS, HuggingFace, OpenAI API Computer Vision: OpenCV, YOLOv5/v8, Object Detection, Instance Segmentation, Multi-Object Tracking MLOps & Deploy: MLflow, FastAPI, Docker, CI/CD, REST APIs, Git/GitHub Frameworks: PyTorch, TensorFlow, Pandas, NumPy, Streamlit Cloud & Hardware: AWS (EC2, S3, Lambda), CUDA, TensorRT TECHNICAL SKILLS

AI Engineer Intern – Edge & Cloud AI Solutions Jul 2025 – Jan 2026 Advitiix Technovate Pvt Ltd, Bangalore

Developed & deployed deep learning models (object detection, instance segmentation, multi-object tracking) using PyTorch, TensorFlow, and TensorRT on NVIDIA edge hardware; reduced inference latency by 50% via quantization & model compression.

Built real-time CV pipelines (30+ FPS) for anomaly detection & behavior analysis using OpenCV and YOLOv8; delivered production-ready Edge AI solutions for automotive clients Volvo & TVS. Integrated edge AI systems with AWS (EC2, S3, Lambda) via REST APIs; containerized models using Docker; tracked experiments & model versions with MLflow in CI/CD Agile workflows. Evaluated models using mAP, precision, recall & F1-score; applied hyperparameter tuning & feature engineering to optimize performance on resource-constrained edge devices. RAG-Based Document Q&A System (LLM · LangChain · GenAI) 2025 Built end-to-end RAG pipeline using LangChain, FAISS vector database & OpenAI API for semantic search & Q&A over custom documents; deployed via FastAPI + Streamlit; tracked with MLflow. Multi-Stacked Low-Light Image Enhancement & Denoising (MLS-UNET) 2025 Trained MLS-UNET model using PyTorch, OpenCV & CUDA; achieved ~20% PSNR improvement via adaptive RGB balancing & data augmentation; evaluated with PSNR, SSIM & MAE metrics. AWS Certified Machine Learning – Specialty

Google Cloud Machine Learning Engineer Certification IBM Machine Learning Professional Certificate

Generative AI: Introduction and Applications – Coursera Python & Machine Learning Cloud Computing

AREA OF INTEREST

AI/ML · Deep Learning · Computer Vision · LLM & RAG Applications · LangChain · MLOps · Edge AI · Generative AI · NLP · AWS Cloud

B.Tech – Information Technology Sri Manakula Vinayagar Engineering College, Puducherry 2021–2025 CGPA: 6.80

Coursework: AI, Machine Learning, Data Structures, DBMS, Cloud Computing, Data Mining, Probability & Statistics Higher Secondary St. Joseph's Higher Secondary School, Cuddalore 2018–2021

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