< Hello, World >

Ritik
Bansal

>
Backend & AI Engineer

I build event-driven microservices, multi-tenant platforms, and LLM-powered pipelines — turning complex engineering challenges into scalable, production-grade systems.

Resume
Ritik Bansal
FastAPI
AWS
RabbitMQ
LLM

01 / About

Who I Am

I'm a Backend & AI Engineer specializing in building intelligent, distributed systems that scale. I currently work at CollegeDekho, where I architect the backend for Fono — a voice intelligence platform processing 50K+ call recordings daily.

My expertise spans event-driven microservices, LLM orchestration pipelines (Groq, Gemini, Azure OpenAI), and multi-tenant CRM integrations using design patterns like Adapter, Factory, and Strategy.

Beyond engineering, I'm a Codeforces Specialist (Max 1410) with 900+ problems solved across Codeforces, LeetCode, and GFG — a habit that keeps my problem-solving sharp.

I believe great software is measurable — I instrument what I build, profile before optimizing, and treat every production deployment as a feedback loop. Engineering without metrics is just guessing.

50K+
Call recordings processed daily on Fono (prod)
900+
DSA problems solved on CF · LC · GFG
Groq · Gemini · Azure
LLM providers orchestrated in production
AIR 623
GATE 2024 — Data Science & AI (out of ~70K)

02 / Experience

Where I've Worked

CollegeDekhoFull-time

Backend Developer

May 2025 – Present
Gurugram, Haryana

Fono — Voice Intelligence & Call Analytics Platform

  • Built and scaled backend services for Fono, a multi-tenant voice intelligence platform processing 50K+ call recordings with 500+ daily active users.
  • Built an event-driven distributed processing pipeline using RabbitMQ workers and AWS S3 to ingest, process, and analyze call recordings.
  • Implemented AI-powered transcription, speaker diarization, and insight extraction pipelines, converting raw audio into structured analytics.
  • Architected multi-tenant CRM integrations supporting multiple lead sources using Adapter, Factory, and Strategy design patterns.

Web Monitoring & Information Extraction Platform

  • Built a web monitoring system that continuously scrapes official exam and institute websites, detecting updates via snapshot hashing and content diffing.
  • Implemented LLM-powered extraction pipelines (Google Gemini & Azure OpenAI) to convert unstructured HTML/PDF updates into structured database records.
  • Designed a data pipeline using FastAPI, PostgreSQL, and AWS S3 to store versioned snapshots and structured updates.
ShipD.aiFreelance

Freelance AI Trainer

Oct 2024 – Mar 2025
Remote

LLM Benchmarking & Evaluation

  • Authored 200+ complex DSA and System Design problems to benchmark LLM code reasoning and debugging capabilities.
  • Designed rigorous test suites and edge-case scenarios to evaluate model-generated solution accuracy.

03 / Skills

What I Know

Languages

PythonC++SQLPostgreSQLMySQLSQLite

Backend

FastAPIDjangoREST APIsMicroservicesRabbitMQCeleryRedis

AI & Data

LLM OrchestrationGroqGeminiAzure OpenAIPydantic v2PandasStructured Extraction

DevOps & Cloud

AWS EC2AWS S3AWS RDSDockerNginxLinuxGit

Tools

PlaywrightBeautifulSoupJWT AuthPydanticSQLAlchemy

Core Concepts

DSASystem DesignOOPDistributed SystemsEvent-Driven ArchitectureDesign Patterns

04 / Projects

What I've Built

Featured Project

LeadScout

AI-Powered Business Intelligence Platform

Full-stack platform that autonomously discovers and scores 200+ high-potential businesses across Instagram, Google Maps, and YouTube using AI-powered analysis (Groq LLM).

Supports real-time search, filtering by growth metrics, and JWT-authenticated email-verified user accounts for personalized lead discovery.

Features an asynchronous job queue (Celery + Redis) handling 10+ concurrent searches with intelligent deduplication — cutting redundant API calls by 60% — and real-time progress tracking.

Reduces lead research time from hours to minutes for freelancers, agencies, and founders. Deployed on AWS EC2 (t2.small) with PostgreSQL on Amazon RDS.

Multi-platform Discovery
Scrapes Instagram, Google Maps & YouTube in a single run to surface high-potential businesses.
AI-powered Lead Scoring
Groq LLM analyses each business's online presence and assigns a growth-potential score.
Async Job Queue
Celery + Redis handles 10+ concurrent searches with real-time per-job progress tracking.
One-click Lead Research
Enter a niche, get a scored, de-duplicated list across three platforms instantly — hours of manual prospecting reduced to minutes.

Tech Stack

FastAPIReactCeleryPostgreSQLRedisAWS EC2Amazon RDSGroq LLMJWT Auth

More on github.com/ritik1231 →

05 / Education

Where I Learned

🎓
National Institute of Technology

NIT Jamshedpur

Master of Computer Applications (MCA)

8.66 CGPA
2022 – 2025
📐
University of Delhi

Shivaji College, University of Delhi

BSc. (Hons.) Mathematics

9.49 CGPA
2019 – 2022
💻
Indian Institute of Technology

IIT Madras

Foundational Level in Programming and Data Science

9.10 CGPA
2020 – 2021

06 / Certificates

What I've Studied

🧠

Machine Learning Specialization

DeepLearning.AI · Stanford University

ID: TL2SVV8CTRPYVerify

Mathematics for Machine Learning Specialization

Imperial College London

ID: BC9ZE33XT742Verify
📊

Data Science: Foundations using R Specialization

The Johns Hopkins University

ID: Y3V35DTUJW9NVerify
🐍

Introduction to Data Science in Python

University of Michigan

ID: L36PKKL548QKVerify
📐

Data Science Math Skills

Duke University

ID: RCQFBYPSZC73Verify
☁️

Getting Started with AWS Machine Learning

Amazon Web Services (AWS)

ID: 6T3XWSKTYSZJVerify

07 / Achievements

What I've Earned

Specialist
1410
Max Rating

Codeforces Specialist

Competed globally, solving algorithmic challenges under time constraints across 100+ rounds.

Knight
1819
Max Rating

LeetCode

Consistent problem-solver across Easy, Medium, and Hard challenges in DSA and algorithms.

CF + LC + GFG
900+
Across All Platforms

Problems Solved

Solved across Codeforces, LeetCode, and GeeksForGeeks focusing on DSA and algorithms.

ICPC Asia
Regional
Participant

ICPC 2022

Participated in the prestigious ACM International Collegiate Programming Contest 2022.

Data Science & AI
AIR 623
All India Rank

GATE 2024

Qualified GATE in Data Science and AI — one of the most competitive national exams in India.

ShipD.ai
200+
Problems Authored

AI Trainer

Created complex DSA and System Design problems to benchmark LLM reasoning at ShipD.ai.

08 / Contact

Let's Work Together

I'm open to backend/AI engineering roles, freelance projects, and interesting collaborations. Whether you have a question or just want to say hi — my inbox is always open.

Designed & built by Ritik Bansal · 2026