Work Experience
Nurture.farm: AgTech Startup
Senior Software Engineer; April 2022 - Present; Bengaluru, India
- Working in sustain team as SSE.
Software Engineer; April 2021 - March 2022; Bengaluru, India
US Carbon Program
- Carbon Calculator
- Calculate VCUs(verified carbon units), CO2 eq, earnings, and equivalent driven car numbers on the basis of grower practices(Cover Crop, Tillage, Manure, Fertilizers), location, farm area, and year of practices.
- User Response Service
- Identify eligible growers by creating forms and collecting grower responses.
- Grower will be allowed to do signup only if he is eligible.
- Create data agreement with digital signing.
- Store data of growers who have accepted the agreement.
- Collect and store the grower’s data file(any format and any size) in S3 using the Presigned URL.
- Auth and User Service
- add password-based authentication.
- add email verification, and reset password functionality.
• Tools: GoLang, Java, gRPC, ProtoBuffer, GraphQL, MySQL, Kubernetes, Helm, Docker, Jenkins
Wheelseye Technology: Logistic Startup
Software Developer; Jul 2020 - April 2021; Gurgaon, India
- Developed microservice which enabled other service owners to send communications(sms, notification, whatsapp, email) across channels using a central module.
- Improved accuracy of sms delivery from 73\% to 86\% by integrating circuit breaker and retry mechanism.
- Implemented features like overspeed info, vehicle in no info zone, fastag auto replacement.
- Integrated infobip, gupshup, mayeka, aws pinpoint, map my india apis.
- worked on a web scrapping microservice to scrap vehicle details.
- Integrated Sonar for static code analysis and vault to manage secret data in code workflow.
- Tools: GoLang, Java, Spring Boot, Python, Redis, Kafka, PostGreSQL, Sonar
Bhabha Atomic Research Centre
Deep Learning Research Internship; Nov 2018 - Feb 2019; Mumbai, India
- Implemented end to end Deep Learning Approach for Low-Quality Vehicle License Plate Recognition.
- Achieved State of the Art Accuracy on license Plate Dataset with Improvement of more than 1.9% in Accuracy.
- Built a Novel Neural Network architecture, which helps in recognizing Arbitrary Length, Multi-Style and Noisy Images in Segmentation Free Manner.
- Our Proposed Model integrates feature extractor, Sequence Encoder, Sequence Decoder and CTC Loss Function into a unified framework.
- IEEE Research Paper Link.
- Tools: Python, Deep Learning, OpenCV
Intel Corporation
Artificial Intelligence Ambassador; Jul 2019 - June 2020; Bangalore, India
- Worked as Intel@ Nervana Ambassador with a focus on Artificial Intelligence.
- Program deals to deliver organized opportunities to innovative people in the field of AI.
HACKEREARTH
CAMPUS AMBASSADOR; April 2018 – June 2020; Srinagar, India
- Encouraged the Culture of Hacking and Competitive Programming in NIT Srinagar.
- Organized First Ever Machine Learning Hackathon of NIT Srinagar.