Jul 2025 – Aug 2025 · 1 mo · Noida, Uttar Pradesh, India · Remote

• Tech Stack :
• FastAPI, SQLAlchemy, PostgreSQL, Pydantic, JWT, bcrypt, OAuth2 Bearer, Alembic, Uvicorn, OpenAPI/Swagger, Env-driven config, CORS, Input validation, Error handling, Data integrity.
• Key contributions:
• API design & delivery (FastAPI): Shipped 23 REST modules with consistent CRUD patterns, typed query params (e.g., enum status filters), and OpenAPI schemas.
• Authentication & authorization: End-to-end OAuth2/JWT with bcrypt; per-route authorization via FastAPI dependencies; Pydantic guards for currency codes (ISO-3), FX positivity, inflation limits, and fixed/variable pricing invariants; DB Integrity/DataError mapped to 400/422; update allow-listing to avoid mass assignment.
• Configuration & environments: Centralized env-driven config and documented local/staging/prod settings so services boot with the same code but different environments.
• Routing & documentation: Registered all routers under a clean api surface, organized tags, and ensured the generated OpenAPI/Swagger is accurate and example-driven for faster QA.
• Data integrity & DX: Matched ORM to PostgreSQL DDL. Added DB-side filters for performance (company/status, product/active). Resolved constraint issues with clean Alembic SQL.
• Reliability & debugging: Traced and fixed runtime failures from request samples, turning them into predictable validation errors and preventing 500s.
• Tooling & DevOps:
• Docker: Containerized FastAPI and PostgreSQL with docker-compose for one-command local spins; multi-stage image build, smaller runtime image, healthchecks, and .dockerignore to keep images lean. Enabled dev/prod parity and reproducible environments.
• Git: Feature-branch workflow with protected main; PRs/code review, descriptive commits, and issue-linked branches. Used squash merges and semantic titles; tagged releases to align with DB migrations and API changes.

Jan 2025 – Mar 2025 · 2 mos · New Delhi, Delhi, India · Remote

• Objective: Architected an e-commerce backend focusing on 3 role-based workflows and core entities
• ◦ Engineered database schema to support 5 relational entities by building 11 Supabase PostgreSQL tables
• ◦ Deployed 15 RESTful Express.js endpoints, standardizing route architecture to ensure API consistency
• ◦ Secured user sign-in to achieve 96% authentication success rate by integrating Passport.js, Google OAuth2
• ◦ Optimized session storage, reducing timeouts by 80% by securely configuring express-session with cookies
• ◦ Strengthened data integrity to reduce malformed requests by 30% by applying express-validator middleware

Jun 2024 – Aug 2024 · 2 mos · Kirkland, Washington, United States · Hybrid

• At Hushh.ai, I contributed to building a scalable brand onboarding platform from the ground up. My work spanned fullstack development, with a strong focus on creating seamless user experiences and robust backend systems. Key responsibilities and achievements included:
• Implemented Google Sign-In and Supabase OTP authentication for secure and smooth user onboarding
• Developed dynamic dashboards for brand management, enabling manual and CSV-based product catalog uploads
• Built responsive product cards with animation-based visibility controls, pagination, and real-time editing features
• Integrated product categorization, custom tagging, indexing, and manual tag editing functionalities
• Engineered analytics and reporting dashboards to track search performance, product visibility, and user engagement
• Designed and maintained a modular codebase for scalability, optimized performance, and intuitive UX
• This experience honed my skills in React, TypeScript, Supabase, and modern product development while working closely with designers and founders to ship features that mattered.

Nov 2022 – Dec 2022 · 1 mo · Delhi, India · On-site

Sep 2021 – Aug 2022 · 11 mos

Jan 2021 – Sep 2021 · 8 mos

• I am part of the School Review Community which is the decision making body of Jagriti Vidya Mandir (a school in West Bengal). I am also part of the Technical Operations Team.

Aug 2021 – Mar 2022 · 7 mos · Kharagpur, West Bengal, India

Dec 2020 – Jul 2025 · 4 yrs 7 mos · West Bengal, India · On-site

• Master Thesis Project--------- 3D Spray Flow Characterization using Particle Image Velocimetry (PIV)
• Engineered a computer vision-based solution to characterize multiphase spray flow dynamics by analyzing high-speed imagery through Particle Image Velocimetry (PIV). The system extracted 3D velocity fields, particle size distributions, and concentration gradients from temporal image sequences.
• Developed a multi-frame optical flow algorithm using OpenCV, FFT-based cross-correlation, and interrogation window techniques for sub-pixel displacement tracking
• Reconstructed 3D vector fields by fusing multi-angle 2D velocity maps via stereo-PIV calibration, leveraging camera calibration matrices and epipolar geometry
• Applied Gaussian smoothing, intensity thresholding, and blob detection to segment and classify particle groups with varying diameters
• Computed probability density functions (PDFs) for particle velocity and size distributions using kernel density estimation (KDE)
• Optimized spatial resolution and temporal synchronization for precise frame-to-frame vector resolution under turbulent flow conditions
• Integrated Python libraries like NumPy, SciPy, Matplotlib, and Scikit-image to visualize streamlines, vector fields, and contour maps
• Designed a modular, parameterized processing pipeline enabling adaptability across different nozzle configurations and flow regimes
• This project bridged fluid mechanics, image processing, and scientific computing—offering a cost-efficient tool to analyze spray dynamics for applications in combustion systems, agriculture, and pharmaceutical atomization.

Dec 2020 – Aug 2022 · 1 yr 8 mos · Indian Institute of Technology Kharagpur