Sumit Sourav
Bengaluru
Summary
Highly-motivated employee with desire to take on new challenges. Strong work ethic, adaptability, and exceptional interpersonal skills. Adept at working effectively unsupervised and quickly mastering new skills.
Overview
7
7
years of professional experience
Work History
Senior Software Engineer
Giant Eagle Gcc
Bengaluru
09.2023 - 01.2026
- Architected a serverless, event-driven pass distribution system for Google and Apple Wallet, supporting 5M+ users, utilizing AWS Lambda, DynamoDB, Ruby on Rails, and Python to achieve horizontal scalability, fault tolerance, and high-throughput processing under peak load.
- Improved security posture by eliminating publicly shareable wallet links, introducing short-lived signed URLs, reducing risk of unauthorized access.
- Designed and implemented a high-throughput data archival strategy, migrating millions of records from relational storage to DynamoDB, improving system scalability and reducing load on the primary database.
- Architected an internal automation agent to eliminate manual console operations, reducing operational overhead by ~60% and improving system reliability, enabling scalable, repeatable job execution across environments.
Backend Engineer 2
Lockstep (Acquired By Sage)
Bengaluru
02.2022 - 08.2023
- Led backend development for Lockstep Inbox platform, integrating multiple ERPs with financial email systems, processing 10K+ invoices and payment updates daily using Ruby on Rails, Azure, Sidekiq, and Redis.
- Designed real-time synchronization pipelines between the Inbox and ERP systems, improving data accuracy and reducing reconciliation delays by ~40%, impacting financial operations worth millions in transactions.
- Implemented approval workflows for invoices and payments, reducing manual intervention by 60% and accelerating decision-making for finance teams.
- Developed webhook-based integrations with external systems, ensuring near real-time updates with 99.9% reliability.
Full Stack Developer
Cerner Healthcare India
Bengaluru
10.2019 - 02.2022
- Developed a healthcare application for the U.S. Department of Veterans Affairs (VA) to manage and track patient allergies, leveraging React (Redux, Sagas) for state management and Ruby on Rails APIs, improving data consistency and page performance across modules.
- Developed a multi-tenant configuration platform to manage themes, assets, and navigation, reducing manual configuration effort by ~40% and improving deployment efficiency for healthcare clients.
- Built a data-driven wellness platform integrating wearable device data, enabling automated analysis and troubleshooting workflows, enhancing user self-service and reducing support dependency.
Frontend Developer Intern
Incture Technologies
Bengaluru
07.2019 - 09.2019
- Developed frontend features for a visitor management system using HTML5, CSS3, and JavaScript, enabling QR code-based access control and real-time notifications for improved security and operational efficiency.
Summer Intern
NIT Patna, Dept. of Computer Science
Patna
05.2019 - 07.2019
- Improved energy efficiency by 6.2% in MAC layer issues of wireless sensor networks by demonstrating Proof of Concept for the clustered grouping with a rotating cluster head of the wireless sensor network.
- Simulated wireless sensor architecture using MATLAB to evaluate the effectiveness of the Rotating Clustered algorithm compared to other techniques.
Education
B.E - Information Science & Engineering
SJCE
01.2019
Skills
- Ruby on Rails
- Redis caching
- DynamoDB
- AWS Lambda
- Python
- Docker
- RAG
- LLM integration
- FastAPI
- LangChain
- LangGraph
- GraphQL
Additional Information - Technical Projects
- AI YouTube Video Generator:- Github Link - https://github.com/sumitsourav/ai-youtube-video-generator. Built an end-to-end AI-powered video generation pipeline using Python and LLMs (Ollama / local models) to automatically generate scripts, convert text to speech, fetch media assets, and compose videos. Integrated TTS, image/video APIs, and FFmpeg/MoviePy, enabling fully automated content creation without external paid APIs.
- Natural Language Processing:- utilizing the TF-IDF algorithm, theNaïve Bayes classifier, and an API in Python for sentimental analysis of Tweets for positive and negative response classification.
- Data Science:- Developed a classifier using KNN and Random Forest for analyzing and predicting the emotions of differently-abled children using psychological signals.
Timeline
Senior Software Engineer
Giant Eagle Gcc
09.2023 - 01.2026
Backend Engineer 2
Lockstep (Acquired By Sage)
02.2022 - 08.2023
Full Stack Developer
Cerner Healthcare India
10.2019 - 02.2022
Frontend Developer Intern
Incture Technologies
07.2019 - 09.2019
Summer Intern
NIT Patna, Dept. of Computer Science
05.2019 - 07.2019
B.E - Information Science & Engineering
SJCE