Sep 2023 – Mar 2024 · 6 mos · India · Hybrid

• Designed and implemented scalable architectures for automation agents and backend services, ensuring robustness and efficiency.
• Developed and optimized the backend for ReplyRocket and Baani, contributing to the acquisition of 15+ clients for Juggernot.
• Worked extensively with LLMs, including fine-tuning, LangChain, Docker, PipeDream, and DevOps pipelines to streamline workflows.
• Engineered algorithms to enhance efficiency, reduce latency, and improve response times across multiple systems.
• Focused on customer satisfaction, delivering high-performance backend solutions while improving cost efficiency.
• Strengthened user security, data protection, and integrity, building secure information exchange systems.
• Leveraged AWS and GCP cloud services to design scalable access patterns, blueprint designs, PRDs, user journeys, lean canvases, and comprehensive documentation.

May 2023 – Sep 2023 · 4 mos · New Delhi, Delhi, India · Hybrid

• Created a neural network-based Track degradation model for Continuous-time health analytics of track geometry
• Pre-processed line datasets for multiple up-down lines in Indian Railways, created a Neural Network for determining GMT given different track metrics
• Optimized model training by training sub-models with multi-threading, created a Docker container for project delivery to the server

May 2022 – Mar 2023 · 10 mos · India · Remote

• Responsible for creation and deployment of end-to-end pipelines for advanced machine learning models.
• Used AWS' S3, SageMaker, ECS and EKS
• Used various stacks and platforms such as Amazon Web Services, HuggingFace, GooseAPI etc.

Aug 2021 – Aug 2022 · 1 yr · Mumbai, Maharashtra, India

• Worked on the core backend algorithm.
• Shifted the entire platform to AWS from Heroku.
• Worked with ReactJS, NodeJS, ExpressJS, Python, Flask and PostgreSQL to develop the dashboard.
• Learnt about PostGIS system and mathematical modelling and budgeting.
• Worked with AWS's EC2, Route53, Lambda, CodePipeline, Amplify and Heroku for DevOps.
• Worked with Google Maps API, GIS mapping APIs.

May 2021 – Aug 2022 · 1 yr 3 mos · Jaipur, Rajasthan, India

Nov 2020 – Apr 2021 · 5 mos · Jaipur, Rajasthan, India

Apr 2021 – Nov 2021 · 7 mos · Harvard, Massachusetts, United States

• Responsible for updating databases related to COVID-19 impact in India.
• Researching for publishing a paper on "Using Deep Learning Architectures to Detect and Assist the Mitigation of the Effects of COVID-19 on the Human Brain".
• Responsible for creation and maintenance of the COVID-19 India Dashboard by the CVT which uses the Gatsby framework.

Jan 2021 – Sep 2023 · 2 yrs 8 mos · Jaipur, Rajasthan, India · On-site

• Steered a startup from concept to market, focusing on cost-of-living solutions.
• Oversaw the creation, deployment, and scaling of application using the MERN stack and actively worked with Microsoft Azure services.
• Got selected in Microsoft for Startup Founders Hub