Manish ch

Architected an AutoGen-based multi-agent system using Azure AI Foundry and Azure OpenAI, automating 8+ validations across 120K annual registrations with ~97% accuracy. Trained seven Azure Custom Translator models and developed an enterprise RAG solution for hazard classification, achieving 90% accuracy while processing 150,000+ records per day.

Developed an attention-based video-classification model to identify and extract replay clips from live sports streams, achieving 95% accuracy, 92% precision and 98% recall.

Developed OCR, NLP and computer-vision solutions, including an automated mathematics answer-correction system that achieved 92% accuracy, 89% precision and 87% recall.

Delivered a facial-recognition attendance system and deployed it on NVIDIA Jetson edge devices, gaining hands-on experience in computer vision, edge AI and model deployment with 91% recognition accuracy.

Pursuing a Doctor of Business Administration in AI & ML to connect AI expertise with business strategy and leadership.

Grade: Merit (68%)

Completed a Master of Science in Machine Learning & Artificial Intelligence, graduating with Merit (68%).

Completed an Executive Post Graduate Programme in Machine Learning & AI to build practical, industry-ready AI/ML skills.

Grade: First G

Completed a Master of Business Administration in Human Resources, graduating with First G.

Grade: Distinction (84%)

Completed a Bachelor of Science in Computer Science, graduating with Distinction (84%).