SACHIN JANGID
@sachinjangid
Machine Learning Engineer at Samsung Research Institute
Noida
Sachin Jangid is a Machine Learning Engineer at Samsung Research Institute with expertise in Generative AI, NLP, and sound event detection. He has developed high-performance CNN models and integrated multi-LLM frameworks, significantly optimizing operational costs and application performance. Sachin holds a B.Tech from IIT Jammu and is a 4-star coder on Code Chef.
Experience
Machine Learning Engineer
Samsung Research Institute
Ambient Sound Detection: Engineered a CNN-based sound event detection system for Samsung home appliances, achieving a 96% F1 Score in real-time detection of critical home care sounds. Leveraged advanced mathematical techniques to reduce false alarms by 98%. Designed user-friendly tools for monitoring and managing machine learning models, improving maintenance efficiency 30%. Multi LLM Framework: Engineered a comprehensive C++ framework that enabled seamless integration of five Large Language Models (LLMs) into Samsung applications, reducing developer’s efforts by 60%. Optimized token usage through advanced query compression techniques, leading to reduction in operational costs by over $50k annually. Enhanced LLM output quality and relevance by applying different prompt engineering strategies. Expanded framework capabilities to support multimodal inputs and empowered LLMs with function calling capabilities.
Python Developer Intern
Techolution
Created Python APIs to efficiently retrieve data from Google Cloud Server. Managed database operations on Google Cloud Big Query to ensure data integrity and accessibility.
Education
Indian Institute of Technology Jammu
Bachelor of Technology
Licenses & Certifications
Deep Learning Specialization
Coursera