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-Leading Technical Team to create AI enabled backend apps -Pipelines for on-demand ML Training and ML Inferences using AWS Sagemaker and AWS Bedrock for custom user datasets. -Custom Web Crawlers to search web and gather data from PDFs (Selenium + pdfquery) and present them in a meaningful way. -Working with technical team to design UI and chatbot for front end user facing app. (React + Flask + AWS S3) -Benchmarking and Portfolio Analytics for Consumers as Web App (React Frontend + Flask Backend + Neo4j/Redis database)

-Worked in a team to solve many complex problems related to -Predictive Maintenance, Speech Analytics, Natural Language -Processing, LLMs, IoT and Computer Vision. Deploying AI Models with Flask/Django Backend and MongoDB/SQL Databse using Docker/ Kubernetes on IoT Edge Devices and Clouds Services (Azure, GCP, AWS) -Build various NLP/Speech backend apps including Sentiment Analysis, Speech to Text Algorithm, Entity Recognition,Language Translation, Grammar Correction Models, Word -Recommendation Engine, Large Language Models etc. -Build various Computer Vision apps including People Counting -System, Facial Recognition System, Hand Gesture Recognition -System, Pattern Finder, Object Tracking System etc -Worked with IoT Sensor Data to find different patterns using clustering algorithms (unsupervised ML), Developed end to end -Social Media Analytics Automation System

-Real time Interactive Dashboard for Product Usage on Tableau and WebApps -Sales and Marketing Dashboards for Dealers & Business Stakeholders + Monthly Value Reports for Clients