A Tech Enthusiast, interested in all things Crypto and Finance off late. I have dabbled with Machine learning on Cloud ( MLOps) and have worked on quite interesting projects, like - YouTube Assistant- I created a chrome extension that gave more granular control over youtube videos, by allowing to search within the video. I do also have experience with product management - when I lead the development of a product for a startup named Carte.
Apart from this, I do also have development experience and have also developed an application for the college to manage Final Year Projects.
I am also an AWS Certified Solutions Architect and provide consulting services for everything cloud.
Projects
Lines of Safety
Being cautious is better than being carelessReact, Node.js, Android Studio, DialogflowSecure Health
Automating Healthcare Solutions, all you need at your fingertipsNode.js, Firebase, Python, Flutter, MongoDBSecure Health
Automating Health Care of today envisioning Atma Nirbhar Bharat.Android, Machine Learning, Deep Learning, Python, Chatbot, echoAR, Nodejs, reactjs, NLPBreaking Codes- SCM 4.0
One-Stop Inventory Management & AnalyticsFirebase, Flask, Raspberry Pi, Flutter, AWS, Computer Vision, Material-UI, Nodejs, reactjs, AzureSkills
Experience
- Carte - MERN Stack Developer and Product LeadOctober 2020 - March 2021
Setup backend logic for business operations and payments processing for contact-less dining application
Lead the Product development in the second Iteration of the project - Leelavati Enterprises - DevOps and Cloud Computing InternJanuary 2021 - June 2021
Used AWS Kinesis data streams for getting data of people watching advertisement during live stream
Worked with AWS Media Services for live streaming and video on demand applications
Automated AWS MediaConvert Job using AWS Lambda - Tech Mahindra - Data AnalystJune 2021 - August 2021
Handled data warehousing and cloud integration with Snowflake and AWS
Extracted Key Performance Indicators(KPIs)like inventory turnover, holding costs for inventory management and
identified choke points
Reduced inventory carrying cost by roughly 12% using time series forecasting models