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Kailramiya/README.md

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About Me

Name:       Aman Kumar
Location:   India
Education:  B.Tech in CSE @ IIIT Raichur (2023-2027) | CGPA: 8.16/10.0
Focus:      AI/ML, NLP, Computer Vision, Full-Stack Development
Currently:  SDE Intern @ QuickIntell | Building RPA Bots & AI Pipelines
DSA:        1000+ problems solved | Global rank < 3000

  • Building healthcare RPA automation bots & AI pipelines at QuickIntell
  • Experienced in NLP, transformer models, real-time computer vision systems
  • Previously at AI4Chat - scaled ML inference throughput by ~40%
  • Ask me about PyTorch, HuggingFace, FastAPI, React, Node.js, System Design
  • Passionate about turning ML research into production-grade systems


Experience

gantt
    title My Journey
    dateFormat YYYY-MM
    axisFormat %b %Y
    todayMarker stroke-width:3px,stroke:#00d4aa

    section Education
    B.Tech CSE @ IIIT Raichur           :active, edu, 2023-08, 2027-05

    section Experience
    AI/ML SDE Intern @ AI4Chat          :done, ai4, 2025-09, 2026-02
    SDE Intern @ QuickIntell            :active, qi, 2026-02, 2026-06
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QuickIntell — Software Development Intern  

  • Architected and shipped a production RPA suite of Windows automation bots that verify healthcare insurance eligibility across major U.S. payers, cutting manual processing time by ~70%
  • Integrated Amazon Bedrock Nova Pro vision model for coordinate-free OCR on live UI screenshots, enabling resilient data extraction
  • Designed a zero-trust security architecture with AWS Lambda, JWT validation, and Appwrite blacklist proxying AI inferences
  • Packaged bots as obfuscated standalone Windows executables with remote kill-switches and monitoring
  • Integrated AI models for automated classification & scoring into real-time data processing pipelines on AWS with a multi-tenant PostgreSQL platform

Python AWS Amazon Bedrock OCR PostgreSQL Appwrite


AI4Chat — AI/ML Software Development Intern  

  • Designed scalable AI service pipelines using async processing & multithreading, increasing model inference throughput by ~40% and reducing latency by ~30%
  • Built fault-tolerant ML serving components with retries, timeouts, and circuit breakers for reliable production performance
  • Collaborated cross-functionally to integrate AI/ML features into production following SDLC best practices

Python Async Multithreading ML Pipelines REST APIs


IIIT Raichur — B.Tech in CSE  

  • CGPA: 8.16/10.0 | Raichur, Karnataka
  • Coursework: Machine Learning, Design & Analysis of Algorithms, DSA, DBMS, OS, Computer Networks, Computer Architecture
  • 1000+ DSA problems solved | Top 5% in Deutsche Bank + GFG GeekStreak 2024 among 10,000+ participants

Tech Stack

Category Technologies
AI / ML PyTorch HuggingFace OpenCV NumPy Pandas
Languages Python C++ Java JavaScript TypeScript SQL
Frontend React Next.js Tailwind HTML5 CSS3
Backend FastAPI Node.js Express JWT
Databases PostgreSQL MongoDB MySQL Redis
Cloud & DevOps AWS Docker Git Vercel Postman

Featured Projects


GetPrepFly - PTE Exam Practice Platform

Next.js 14 React Native PostgreSQL OpenAI Whisper

  • Architected a multi-tenant SaaS with 4-role RBAC, serving individual students and B2B coaching centres
  • Built AI auto-grading for all 26 PTE question types using OpenAI Whisper + GPT-4o-mini, returning scored feedback in under 60s
  • Engineered Razorpay monetization with modular plans, coupon engine, and 30-day rolling seat allocation for centres

GitHub Live

Empathy Engine - Emotionally Intelligent TTS

Python HuggingFace Transformers FastAPI Edge-TTS

  • Fine-tuned DistilRoBERTa for 7-class emotion classification with confidence-based intensity scaling
  • Built multilingual processing with auto Hindi/Hinglish detection via Devanagari script analysis
  • Designed dynamic prosody modulation mapping emotions to vocal parameters with triple-fallback TTS architecture

GitHub

AI Security Monitoring System

Python OpenCV YOLOv3 Face Recognition Telegram API

  • Built real-time CV pipeline with multi-threaded frame processing, achieving 95% face recognition accuracy
  • Reduced false positives by 40% through optimized face embedding techniques and intelligent frame sampling
  • Integrated real-time Telegram alerts with sub-second latency for automated incident reporting

GitHub Demo

StayEase - Property Rental & Booking Platform

React 19 Node.js MongoDB Redis

  • Implemented AI-assisted ranking & recommendation using weighted scoring based on user behavior signals
  • Optimized backend with Redis caching and prefix-based invalidation to keep results fresh
  • Built secure auth, listings, bookings, and reviews with modular REST routes

GitHub Live

NetworQ - Professional Networking Platform

React.js Node.js MongoDB JWT

  • Designed RESTful APIs handling 1k+ daily requests with sub-150ms latency, improving availability by 22%
  • Implemented JWT-based auth with OOP principles and separation of concerns in backend design

GitHub Live

 

Achievements


Problems Solved
LC + CF + GFG + CC

500+ Problems
Competitive Rating

400+ Problems
GeeksforGeeks

Multiple Contests
Cross-Platform

Deutsche Bank + GFG
Among 10,000+ participants

Competitive Programmer
Codeforces

Competitive Programmer
CodeChef

IIIT Raichur
Academic Excellence

GitHub Analytics

GitHub Stats GitHub Streak
Activity Graph

Competitive Programming

LeetCode Codeforces
GeeksforGeeks

Let's Connect



Open to: SDE Roles | AI/ML Internships | Open Source Collaboration | Freelance Projects


If you found my work interesting, consider giving a ⭐

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