Skills

• Amazon Web Services (AWS)
• TensorFlow | Keras | PyTorch
• Python | REST APIs
• Jupyter Notebook | Google Colab
• OpenCV | Raspberry Pi
• Tableau | KIbana | Elastic Search

ML Models

• Convolutional Neural Nets (CNNs)
• Transfer Learning
• Auto-Encoders | Style Transfer
• Large Language Models (LLMs)
• Generative AI | GANs

Summary

• 15+ years of diverse experience across R&D (7 yrs), Corporate IT (5 yrs) and Startup Ventures (5 yrs)
• Leadership Roles: Sr Manager at Cognizant | Associate Director at Happiest MInds | Principal Data Scientist at Make My Trip | Project Lead at Persistent
• Notable Clients: ESPN, Warner Music, Godrej
• Hands on expertise on Multimedia projects involving Audio, Video, Image, Text, Dialogs
• Key Areas: Computer Vision, Image Processing, Audio + Video Understanding, AI, Machine Learning, Computational Music, Deep Learning

Academics

• University of Minnesota, Masters in Computer Science
• Pune University, Bachelors in Computer Engineering
• Research Intern at Sony – Tokyo, Japan | Summer Intern at Amazon.com – Seattle, WA | Summer Intern at University of Southern California (USC) | Research Staff at Singapore Management University – Singapore
• Research Paper on Humor Analysis in FRIENDS Dialogs at EMNLP, Sydney

Job Functions

• Mentoring & guiding junior team members, to resolve any issues or challenges faced during development or deployment
• Preparing & presenting project proposals by outlining the scope of work, project timeline, budget, team structure, solution architecture and technology stack
• Design Solution Architecture by researching latest coding platforms, tools & libraries to solve given use-cases efficiently & accurately
• Work closely with business development, sales, marketing teams to ensure projects are aligned with overall corporate strategy
• Build products & services that showcase creative innovative ideas & latest technology trends

Projects

• Image Classification: Classify food images by identifying type of dish (noodles, burger, sandwich, pizza, cake, juice / milkshake etc)
• Facial Landmarks: Capture facial expressions of comedians in comedy movies / tv programs
• Video Tagging: Detect animal species in wild life documentary films
• Activity Recognition: Detect activities in sports & adventure videos – swimming, skating, cycling, boxing, surfing, horse riding
• Music Generation: Using hand gestures in music generation
• Audio Classifier: Identify musical notes directly from mp3 (without MIDI)
• Image Processing: Apply filters and style transfer to enhance photos