Ehtesham Siddiqui | Software Engineer

About Me

My journey into software engineering wasn't just about writing code—it was about understanding how systems scale. What started as simple scripting at the University of Mumbai has evolved into a deep focus on Distributed Systems and Backend Architecture at NYU.

I don't just build features; I engineer reliability. From patenting Blockchain frameworks to optimizing AI pipelines, I enjoy solving problems where performance and data integrity are non-negotiable.

When I'm not debugging race conditions, I’m usually leading teams. My background as a Technical Secretary taught me that orchestrating large-scale technical festivals is surprisingly similar to managing distributed nodes—coordination is everything.

Tech Stack

Python & Next.js

C++ / C

TypeScript

AWS

Docker & K8s

SQL / NoSQL

LangChain / AI

Jenkins / CI/CD

Education

New York University 2024 - 2026

M.S. in Computer Engineering

University of Mumbai 2020 - 2024

B.E. in Computer Science

Leadership & Interests

Technical Secretary

Led the Student Council at University of Mumbai (2022-2023). Managed a team of 50+ students to organize technical festivals and hackathons with 1000+ attendees.

Placement Coordinator

Liaised between corporate recruiters and the college administration (2022-2024), streamlining the hiring process for 200+ graduating engineers.

Chess Enthusiast @GroovySquare

Silver Medal (2nd Prize)

"Catch me blundering queens in 3-minute blitz games. It's my favorite way to reset the brain, panic under time pressure, and occasionally find a brilliant mate."

Chess.com Rating

Where I've Worked

Software Engineer @ NYU VIP

Sep 2025 - Dec 2025

Formulated MVP components (APIs, pipelines, UI) using Python/Next.js, speeding development by 30%.
Constructed a carbon-footprint engine with 20+ emission factors, reducing calculation time by 40%.
Evaluated needs through research with 10+ users, improving sprint estimation accuracy by 25%.

AI/ML Engineering Intern @ Civic Group Inc.

Aug 2025 - Sep 2025

Engineered a record-linkage service (TypeScript, Prisma) reducing redundancy in 5K+ civic records.
Devised multi-agent AI pipelines (LangChain, asyncio) achieving 80%+ F1 accuracy.
Deployed deduplication service on AWS (Bedrock, Docker) for sub-1s real-time processing.

Co-Founder @ Serenity Healthcare

May 2022 - Feb 2023

Co-founded an e-prescription SaaS startup, digitizing healthcare for 10K+ patients.
Directed and deployed a React + Django + MySQL MVP enabling 100+ doctors.
Designed normalized database schemas improving efficiency by 30%.

Full Stack Developer Intern @ Loumus Data Systems

May 2022 - Oct 2022

Developed a Sales Force Automation (SFA) dashboard using .NET and C# for enterprise clients.
Implemented role-based authentication and real-time data visualization for sales metrics.
Collaborated with senior architects to optimize SQL queries, improving dashboard load times.

Some Things I've Built

NoteForge (Distributed System)

Real-time collaborative notebooks supporting 10+ concurrent users with co-editing and live cursors. Implemented CRDTs for conflict-free synchronization.

Next.js Prisma WebSockets

IntelliCast (AI Agent)

Agentic Political Events AI Chatbot. Created a bias + hallucination eval harness that cut contradiction rates from 70% to 90% on 80+ prompts.

Python LangChain Flask

Speech-Database-Query

Voice-based multilingual database tool used by 25+ businesses. Achieved 92% accuracy across regional languages using Django & IndicNLTK.

Django IndicNLTK NLP

Research & Patent

IEEE Profile

Edge IoT Blockchain Framework

Patent Application #202341053005 | Issued Aug 2023

Patented an edge blockchain framework ensuring sub-second data integrity and introduced a hybrid PoA consensus for secure, low-energy IoT operations. Created an incentive model boosting throughput by 40%.

Streamlining Clinical Practice Management

IEEE Publication | Nov 2023

Developed an Android portal for virtual consultations, reducing administrative tasks by 30%. Enhanced care access, potentially saving 122 lives per 100k annually through improved telemedicine reach.

AI for Enhancing Crop Yield

IEEE Publication | Dec 2023

Implemented CNNs for precision farming, achieving 92% crop-stress detection accuracy from satellite & sensor data.

Hi, my name is

Ehtesham Siddiqui.

I build scalable distributed systems.