01. About Me


I love building and experimenting with digital creations,
from websites to applications and everything in between

Solid expertise in Algorithms, Distributed Systems, and Cloud Technologies

As a Software Engineer, I tackle large-scale challenges

using my technical skills to drive automation and performance optimization

Committed to driving organizational success and improving business outcomes

Here are some technologies I've been working with recently:

  • Languages: Python, Java, C++, Go, JavaScript/TypeScript
  • Backend: Node.js, Express.js, Django, Spring Boot
  • Frontend: React, Vue.js, Nuxt.js, Next.js, Angular, TailwindCSS, HTML, CSS
  • Databases: SQL (PostgreSQL, MySQL), NoSQL (MongoDB, DynamoDB, RedisDB, Cassandra)
  • Cloud & DevOps: AWS (EC2, EKS, S3), GCP, Azure, Kubernetes, Docker, Jenkins, Ansible, Terraform, Linux, Git, JIRA

Resume

02. Experiences I've


TurboVets Inc, Full Stack Developer

Boston, MA (Remote)

Jan 2026 – Present

  • Architected a VA Forms platform and My Claims dashboard with Angular 20, NestJS, and GraphQL in an Nx monorepo, replacing legacy PDF workflows with real-time auto-save and reducing completion time by 40%.
  • Engineered a PDF-to-template pipeline using pdfjs-dist and Zod to map PostgreSQL JSONB form responses to AcroForm coordinates, enabling automated generation of validated VA documents for 100+ fields.
  • Built a visual Template Builder with conditional logic, versioning, and a draft-to-publish lifecycle, enabling scalable creation of 750+ VA form templates integrated with submission tracking.
  • Developed a reactive My Representative portal with Angular Signals and GraphQL, syncing POA data across 5 UI states for 5,000+ veterans with reusable OnPush cards.

Varmodel AI, Full Stack Software Engineer Intern

Austin, TX, USA

May 2025 – Aug 2025

  • Automated Gemini-2.5 API integrations to generate large-scale data for 70,000+ companies, analyzing weekly reports and interpreting valuable insights using Power BI, reducing manual effort by 80%.
  • Built and deployed a full-stack SaaS platform (Django, TypeScript-Vue.js, PostgreSQL, DynamoDB) on DigitalOcean using Docker and CI/CD, cutting environmental bugs by 60%.
  • Integrated Salesforce, Hubspot, and LinkedIn OAuth in React frontends and Node.js backends via REST APIs/GraphQL, automating 70% of communication, payments, and CRM sync workflows.
  • Architected semantic search in Flask, PostgreSQL using Qdrant vector DB, LLMs(GPT-3.5), LangChain, and Redis caching, improving relevance by 25% and cutting query latency by 3s.

AppViewX, Software Developer

AppViewX, India

February 2022 – June 2024

  • Developed Python modules to manage Nginx configurations for 3,000+ devices, enhancing data consistency and reducing query latency by 25%.
  • Optimized F5 load balancer profile addition in Java (Spring Boot) with O(n log n) sorting + binary search, reducing execution time by 30% for 10,000+ devices and deployed on AWS EC2.
  • Implemented certificate lifecycle management system using Python, MongoDB, and AWS S3 handling 50,000+ certificates for critical customers.
  • Automated Kubernetes cluster deletion workflow on AWS EKS using Spring Boot cluster management microservices, Terraform and Ansible for scalable and reliable operations.
  • Implemented an event-driven system architecture using Kafka to synchronize Citrix load balancer configurations and object states across 5,000+ devices, enabling real-time updates.
  • Enhanced CI/CD pipelines (Jenkins) and backend unit tests using JUnit to automate load balancer deployment, improving release quality and reducing production rollbacks by 50%.

03. Education I've


Boston University, Master of Science in Computer Science (MSCS)

Boston, MA, USA

September 2024 – December 2025

Courses: Object Oriented Programming (OOP), Graduate Algorithms, DBMS, Distributed Systems, Applied ML, Deep Learning, Data Science

Vellore Institute of Technology, Bachelor of Technology in Computer Science & Engineering

Chennai, India

August 2018 - May 2022

GPA: 8.55/10

Courses: Full Stack Web Development, Data Structures and Algorithms, Cyber Security, Image Processing, Database Management Systems

04. Some Things I've Built


Distributed Key-Value Store

Technologies: Go, Omnipaxos, Google Cloud Platform (GKE/GCP)

  • Built a sharded, fault-tolerant key-value store in Go with Omnipaxos consensus protocol and deployed on Google Cloud Platform (GKE/GCP).
  • Implemented distributed consensus mechanism ensuring data consistency and availability across multiple nodes in the cluster.
  • Designed and implemented sharding strategy to distribute data efficiently across nodes, enabling horizontal scalability.
  • Developed robust failure recovery mechanisms to handle node failures and network partitions gracefully.
  • Deployed and orchestrated the distributed system on Google Kubernetes Engine (GKE) using containerization for scalable and reliable operations.

Secure Task Management System

Technologies: NestJS, Angular, TypeORM, Tailwind CSS, JWT

  • Built a full-stack RBAC (Role-Based Access Control) application using NestJS for backend and Angular for frontend with JWT authentication.
  • Implemented secure user authentication and authorization system with role-based permissions for different user types.
  • Designed and developed RESTful APIs using NestJS with TypeORM for efficient database operations and data persistence.
  • Created a responsive and modern user interface using Angular and Tailwind CSS for seamless user experience across devices.
  • Implemented task creation, assignment, tracking, and management features with real-time updates and notifications.

E-commerce Platform

Technologies: MERN, Cursor AI, Stripe, Power BI, Azure

  • Built a full-stack MERN (MongoDB, Express, React, Node.js) web application using Cursor AI for intelligent code generation and development assistance.
  • Integrated Stripe payment gateway for secure and seamless payment processing with support for multiple payment methods.
  • Developed comprehensive product catalog with search, filter, and pagination features for enhanced user experience.
  • Implemented real-time order management system with order tracking, status updates, and notification system.
  • Created data visualization dashboards using Power BI for generating sales reports, analytics, and business insights.
  • Deployed the application on Microsoft Azure with containerization and auto-scaling capabilities for high availability and performance.

Farm Helper (Smart Agriculture Solution)

Technologies: Java, MVC, OOPS Design Patterns, AI/ML

  • Developed a smart solution using modern ICT tools for farmers and the government of India's agricultural department.
  • Created a web app for officers and a mobile app for farmers to enhance agricultural efficiency.
  • Enabled crop yield prediction, plant disease detection through image uploads, and integrated a chatbot for farmer queries.
  • Provided features for purchasing fertilizers, selling crops at government-fixed rates, and e-fencing land.
  • Facilitated crisis management with a feature for farmers to request aid.

Board Games

Technologies: Java

  • Developed a Java-based platform featuring terminal-based games like Legend of Valor and Super Tic Tac Toe.
  • Focused on modular design, reusability, and scalability by leveraging Object-Oriented principles like interfaces and shared resources.
  • Enabled easy expansion and efficient game management, reducing development time for new games by 30%.

Efficient Data Management System

Technologies: C++

  • Built a database management system featuring a buffer pool for optimized data access.
  • Implemented efficient data insertion, modification, and deletion using B+ Trees and LSM trees.
  • Ensured high-performance reads and writes achieving a 40% reduction in query response time.

05. Achievements & Recognition


Hackathons

  • Smart India Hackathon: National Winner (1st Prize, Innovation Challenge)

Publications

  • Peer-reviewed IEEE Conference Paper – Lazy Learning kNN Classification, ViTECON 2019

06. Research paper I've worked on


Integration of Lazy Learning associative classification with KNN algorithm

IEEE International Conference on Vision Towards Emerging Trends in Communication and Networking - Mar 30, 2019

Preeti Tamrakar, Siddharth Singha Roy, Biswajit Satapathy, S. P. Syed Ibrahim

07. What's Next?


Get In Touch

If you like to say Hello to me, my inbox
is always open. Whether you have a question
or just want to say hi, I'll try my best to get back to you!


Email at bisusatapahy2000@gmail.com

📍 Austin, TX, USA | 📞 +1 857-316-6048

You can Find me Here!