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TOP SECRET // CASE #2026

Surya Pratap Singh

I build scalable backend systems and AI-powered applications

Backend Engineer | Building scalable web apps & AI tools

Let's build something Open evidence board Download Resume

Evidence Board

Project dossiers presented as a stacked investigation.

~/evidence/file_01
OSS WATCH NODE PROD
01 PYTHON

> GitHub API poller

> Digest queue active

> ECR image deployed

> Main branch auto-release

FILE 01 IN PRODUCTION

GitHub OSS Issue Notifier

Backend service that monitors 20+ open source orgs in real-time and delivers hourly email digests of new GitHub issues. Fully automated — push to main triggers CI/CD pipeline, auto-deploys to AWS EC2 via Docker.

20+ OSS orgs Hourly digest AWS EC2 Docker CI/CD
Python Docker AWS EC2 GitHub Actions CI/CD

Impact: Zero-touch deployment pipeline running in production. Monitors 20+ OSS orgs continuously with zero manual intervention since launch.

Source Lesson log
~/evidence/file_02
SYNTHETIC LEDGER ML
02 PYTHON

> Fraud class locked

> Generator trained

> Distribution validated

> CSV export ready

FILE 02 LIVE DEMO

Synthetic Financial Transaction Data Generator (CGAN)

Built a Conditional GAN (CGAN) model to generate realistic synthetic financial transactions for fraud detection training, solving data privacy and scarcity issues.

10k+ records ~3% fraud CGAN model Streamlit UI
Python PyTorch Streamlit Machine Learning GANs

Impact: Generated 10,000+ realistic transactions maintaining fraud distribution (~3%) for ML model training without exposing sensitive data.

Live demo Source Lesson log
~/evidence/file_03
STORAGE VAULT AUTH
03 NODE.JS

> Token gate verified

> Upload route online

> Access policy checked

> MongoDB session map

FILE 03

Cloud Storage Web App

Built a full-stack file storage platform with authentication and cloud storage integration.

JWT auth File access REST APIs Supabase
Node.js Express.js MongoDB Supabase REST APIs JWT

Impact: Implemented file upload, download, and user access control.

Source Lesson log
~/evidence/file_04
DISCIPLINE GRID LIVE
04 PYTHON

> Daily streak traced

> Fitness panel synced

> Progress rings loaded

> Habit history online

FILE 04 LIVE DEMO

IronMind Habit and Fitness Tracker

Built a habit tracking dashboard with streak analytics and progress visualization.

Live app Streak views Progress charts Habit logs
Python Streamlit Analytics

Impact: Shipped as a live app with interactive progress views.

Live demo Source Lesson log
~/evidence/file_05
ROLE MATCH ENGINE AI
05 PYTHON

> Resume text parsed

> Skill tokens mapped

> Role score generated

> Recommendation issued

FILE 05 LIVE DEMO

SmartRecruitAI Resume Analyzer

Built an application to analyze resumes and suggest job roles using keyword matching.

Resume parse Role match Keyword scoring Render deploy
Python Text Processing Keyword Matching

Impact: Automated resume-to-role recommendation workflow.

Live demo Source Lesson log
~/evidence/file_06
INTERVIEW SIM VOICE
06 REACT

> Role profile loaded

> Voice response captured

> AI feedback streamed

> Practice loop complete

FILE 06

AI Interview Coach

Built an AI-powered interview coaching app that simulates real interview scenarios by generating role-specific questions and evaluating user responses via voice input.

Voice input Gemini API Role prompts Realtime feedback
React TypeScript Google AI Studio (Gemini API) Speech-to-Text

Impact: Enabled real-time interview practice with AI-generated feedback, improving candidate readiness through interactive voice-based sessions.

Source Lesson log

Subject Profile

CASE FILE SPS-2026-IN // STATUS: Backend Engineer | Shipping scalable apps with Python Fast API & Node.js

Surya Pratap Singh

Lineup-style portrait of Surya Pratap Singh holding an ID placard

CLASSCSE GRADUATE '26

XP_LEVELBACKEND

LANG_1English

LANG_2Hindi

SYSTEM_ALERT

OPEN TO WORK

// CONTRACTS: ENABLED [REMOTE_READY]

COMPETENCE_ANALYSIS_REPORT

[READ_ONLY]

Hybrid developer obsessed with the fusion of technical rigor and visual impact. I build fast products with clear architecture and memorable interaction layers.

// ACADEMIC_LOG [EDUCATION]

B.Tech Computer Science Engineering 2023 - 2026

Current Focus Backend Systems

Backend systems, cloud-based web applications, and API-driven architecture.

// FIELD_OPERATIONS [CURRENT FOCUS]

Designing robust backends, interactive frontends, and high-velocity product workflows.

EQUIPMENT_INVENTORY

HARD SKILLS

Python Go SQL Docker, CI/CD Linux FastAPI REST APIs JWT Authentication MongoDB Supabase AWS EC2 Git & GitHub

SOFT SIGNALS

Problem Solving Ownership Adaptability Team Collaboration Fast Iteration Consistency

Field Log

Mission outcomes.

2023 - 2026

B.Tech in Computer Science Engineering

  • Focused on backend development and cloud-oriented web application workflows.
  • Built practical projects using Python, Node.js, APIs, authentication, and databases.
  • Strengthened implementation skills through continuous project delivery.

2024 - Present

Independent Project Developer

Self-directed build track

  • Built 5+ end-to-end projects including AI tools, full-stack apps, and ML models.
  • Shipped live products with FastAPI, React, Node.js, and cloud deployments.
  • Contributed security improvements and bug fixes to open source repositories on GitHub.

2025

Workshops & Hackathons

IIT Roorkee Cognizance × Microsoft, AVALANCHE | Adobe India Hackathon

  • AI/ML workshop with Microsoft and Blockchain workshop with AVALANCHE — Cognizance IIT Roorkee 2025.
  • Participated in Adobe India Hackathon Round 1 (MCQ + Coding) as Team '404 NOT FOUNDERS'.

Profile

Short story.

I'm a backend engineer who builds practical software that solves real problems — and ships it.

I focus on backend + cloud systems: APIs that don't fall over, CI/CD pipelines that actually deploy, and infra I've configured myself instead of just reading about. Every project on this page is live in production, not a tutorial clone.

I'm now looking to bring that same execution to a real team — solving real problems, shipping real product.

Learning Logs

What I learned from building these projects.

5 MIN READ

FILE 01 · GitHub OSS Issue Notifier

I Built a Bot That Watches GitHub 24/7 So I Don't Have To

Automated open-source issue tracking with Python, Docker, and AWS EC2. A self-hosted CI/CD pipeline that sends hourly email digests of new GitHub issues.

Read article

4 MIN READ

FILE 03 · Cloud Storage Web App

Cloud Storage App: Auth Has To Be System-Level

I learned that login is just step one. Real security came from permission checks on every file action and predictable token/session handling.

Read article

5 MIN READ

FILE 02 · CGAN Generator

CGAN Project: Data Quality Beats Fancy Models

Most gains came from data prep and evaluation discipline. Balancing fraud classes and validating generated patterns mattered more than architecture tweaks.

Read article

3 MIN READ

FILE 04 · IronMind Tracker

IronMind: UX Clarity Drives Retention

Users stuck with the app when progress looked obvious. Lightweight visuals and streak feedback improved engagement without overcomplicating the product.

Read article

3 MIN READ

FILE 05 · SmartRecruitAI

SmartRecruitAI: Relevance Is Better Than Volume

Keyword matching worked best when tuned for role context. Precision in mapping signals to roles outperformed broad, noisy scoring strategies.

Read article

4 MIN READ

FILE 06 · AI Interview Coach

AI Interview Coach: Latency Changes Product Feel

Fast response loops made practice feel realistic. I focused on prompt structure and response timing to keep the coaching flow smooth and useful.

Read article