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Deepak Pandey

Backend Developer — Python · FastAPI · PostgreSQL

Most portfolios are pages. This one's a response. Frontend isn't really my thing — APIs are.

Backend developer focused on building reliable, production-ready systems — clean architecture, scalable APIs, and real-time services engineered to hold up under real-world traffic and edge cases.

View projects → Download resume
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"role": "Backend Developer", "stack": ["Python", "FastAPI", "PostgreSQL", "SQLAlchemy", "Redis"] "currently": "open to entry-level backend roles", "based_in": "Noida, India", "avg_response_time": "under 24h"
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Who I am

Hi, I'm Deepak Pandey — a Python backend developer with hands-on experience in building scalable backend systems using FastAPI, REST APIs, PostgreSQL, JWT, Redis, Docker, AWS.

I've worked at two different startups where I was responsible for designing database schemas and optimizing API performance. I enjoy the logic behind the screen — solving complex problems and building systems that just work.

I'm a quick learner and I'm always looking for ways to improve my skills and stay up-to-date with the latest technologies. I'm currently looking for a full-time role where I can contribute to building meaningful products.

Deepak Pandey
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Things I've shipped

/projects/attendify 200 OK · 11ms

Attendify

Face-recognition based event attendance system

A production-grade attendance system built to eliminate proxy attendance — each account is tied to a unique face using dlib's 128-dimensional facial encoding, so no two accounts can share the same face. Attendees check in through a peer-to-peer selfie verification flow with live camera capture and GPS-based reverse geocoding, producing a timestamped, watermarked selfie with the exact address. The entire attendance lifecycle — logout reminders, auto-logout, half-day marking, and weekend-aware leave tracking — runs on automated APScheduler jobs.

FastAPIPostgreSQL dlibAPScheduler DockerJWT
The hard part: enforcing one-account-per-face reliably at scale, and keeping location data accurate with a LocationIQ → BigDataCloud fallback when the primary geocoding API failed.
Live demo ↗ GitHub ↗
Attendify
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SpeakU v2.0

Real-time language exchange platform

A Lingbe-inspired platform that connects language learners for live conversation practice — WebSocket-based matchmaking pairs users, and WebRTC handles the peer-to-peer voice calls. Version 2.0 adds TURN server support to keep calls connecting reliably across restrictive networks, a session countdown timer to manage call duration, and Redis for faster session state handling. FastAPI powers the backend, with Supabase/PostgreSQL storing users and call history.

FastAPIWebSocket WebRTCRedis Supabase
The hard part: resolving WebRTC "glare" conditions — where both peers try to initiate a call offer simultaneously — by adding proper offer/answer collision handling, plus TURN servers to keep calls alive behind strict NATs/firewalls.
Live demo ↗ GitHub ↗
SpeakU v2.0
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Vocal-Vantage

AI speech-coaching platform

Records a user's speech, transcribes it with OpenAI Whisper, and runs it through the Gemini API to score delivery and generate personalised coaching feedback. A FastAPI service handles the pipeline; PostgreSQL stores sessions and progress over time.

FastAPIPostgreSQL OpenAI WhisperGemini API SQLAlchemy
The hard part: keeping transcription and AI-feedback latency low enough that coaching still feels close to real-time.
Live demo ↗ GitHub ↗
Vocal Vantage
More projects on GitHub ↗
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Stack

languages
Python Python
SQL SQL
frameworks
FastAPI FastAPI
Flask Flask
database & ORM
PostgreSQL PostgreSQL
MongoDB MongoDB
SQLAlchemy SQLAlchemy
auth & real-time
JWT JWT
WebSocket WebSocket
Postman Postman
tools & cloud
Docker Docker
AWS AWS
Git Git
GitHub GitHub
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Experience

Jan 2026 - Mar 2026

Software Engineer Intern

Solidate Infotech
  • Built and tested REST API endpoints using Python and FastAPI, ensuring proper request handling and response formatting for backend services.
  • Wrote and executed test cases to validate API functionality, tracked bugs, and documented fixes to improve overall code reliability.
  • Used Git and GitHub for version control, managing code commits and collaborating on shared repositories during the internship.
May 2025 - July 2025

Python Developer Intern

Alfido Tech
  • Developed backend modules using Python and FastAPI to handle user data, form submissions, and server-side logic for internal web applications.
  • Connected application to PostgreSQL database using SQLAlchemy ORM to perform CRUD operations — create, read, update, and delete records.
  • Tested APIs using Postman to verify endpoints were returning correct data and handling errors like missing fields or invalid input properly.
Experience Illustration
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Education

2026

Bachelor of Computer Applications (BCA)

Teerthanker Mahaveer University, Moradabad
2023

Higher Secondary Education (12th)

Kendriya Vidyalaya Moradabad
2021

Secondary Education (10th)

Kendriya Vidyalaya Moradabad
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Certificates

Certificate name
National Technology DayTMU Dean · 2026
 Certificate name
Best MentorCTLD · 2025
 Certificate name
McKinsey ForwardMcKinsey · 2026
 Certificate name
TCSiON Generative AITCS · 2026
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Send a request

email deepakpandey4002@gmail.com
phone 7819875279
deepakpandey4002@gmail.com
+91 7819875279
Send a Message