Brief Introduction:

Machine Learning engineer with 8+ years of experience in leading teams and building products from the ground up in domains of security, finance, banking, retail and telecom.

Technical Skills:

Data Science, Machine Learning, Deep Learning, Large Language Models, Computer Vision, Edge Computing, GPU Computing, Cloud Computing, Python, C/C++

Project portfolio:

1, Local Enterprise LLM:  Built Enterprise LLMs for enterprises with sensitive data to build internal knowledge base systems.

2, Face Recognition based authentication system: Built face recognition based authentication system for on-premise security and entry/exit management with real time and on-premise edge compute systems.

3, Data Modernization: Migrated 100 GB Data for a major bank from on-premise data warehouse to BigQuery in Google Cloud.

4, Chatbots: Built and Deployed smart conversational agents to Hardware Pepper Robots for real-time and in-person interaction with users at bank premises.

5, Recommender systems: Built recommender systems for Movie cinemas to upsell products and increase average order value at Point-of-Sale Kiosks.

6, Retail Shelf Analytics: Built computer vision based retail shelf analytics system for real time inventory tracking and stock management.

7, Customer Data Platform: Built Customer Data Platform for banking enterprises to visualise and understand customer base and reach out automatically via the right platform to reduce churn, increase LTV and upsell recommended products.

8, Decision-Maker Identification: Built Machine Learning System to identify key decision makers in households based on user browsing data and call pattern for a telecom customer to upsell broadband plans.

9, Off-shore Edge LLM Application: Built Android Application to run real-time object classification, object detection and Image segmentation for application to be used for PolyCrystalline Diamond Cutter bits for probabilistic dull grading in no-internet off-shore environment.