Hey, I'm Zulqarnain.

Data scientist with a shipping record.

I build models and the systems that put them to work. I run Altechra, where 40+ production AI/ML and full-stack products have gone out the door, and I finished my MS in Data Science at NYIT (May 2026) with the Graduate Achievement Award — plus the analysis behind a course-scheduling study: 15,242 records, 3,300+ undergraduates.

Open to new opportunities

Say hi See the work GitHub LinkedIn
Syed Zulqarnain Hassan Graduate Achievement Award · NYIT '26

Ship log

What has actually shipped, newest first. Every line has a receipt.

  1. May 2025–now Upwork · freelance data science & ML Top Rated · 90%+ JSS · $40K+ · 38+ contracts Upwork profile ↗
  2. Apr 2025–now Altechra · founder 40+ products shipped altechra.com ↗
  3. Aug 2024–now NSK · petroleum wholesale operations analytics, part-time +15% revenue · −30% reporting time internal
  4. Jan 2025–Jun 2026 Course-scheduling study, NYIT · Graduate Research Assistant, Data Science 15,242 records · 3,300+ students internal · methodology on request
  5. May 2026 MS Data Science, NYIT · Data Science Graduate Achievement Award CoECS Commencement Awards award post ↗
  6. Jun–Sep 2025 JobCraft · AI job matching, open source 85% matching accuracy GitHub ↗
  7. Feb–May 2025 MedBot · medical Q&A assistant 94% query accuracy GitHub ↗
  8. 2023–24 Material classification model · PEC-funded final-year project 96% accuracy GitHub ↗

A few milestones along the way

Data Science Graduate Achievement Award✦ Founder @ Altechra✦ Top Rated on Upwork✦ 40+ products shipped✦ Research Assistant @ NYIT✦ Pakistan Conference @ Harvard✦ Databricks Lakehouse Workshop✦ IEEE NUCES — Senior Vice President✦ PEC fully-funded final-year project✦

What I do

How can I help you?

Four things I do well — backed by real numbers, not vibes.

Machine learning & AI

End-to-end ML — EDA and feature engineering through training, evaluation, AWS deployment, and monitoring. Models that survive contact with real data.

See the work →

LLMs & RAG systems

Chatbots, semantic search, and agentic pipelines with LangChain and OpenAI — like a medical assistant answering at 94% accuracy.

See MedBot →

Data analysis

Insights that move numbers — pricing and sales analysis behind a 15% revenue lift, and automated reporting that cut manual effort by 30%.

See where →

End-to-end delivery

Full products through my agency, Altechra — 40+ SaaS platforms, AI integrations, and full-stack builds from discovery to post-launch support.

Meet Altechra →

Selected work

Results first, then how they happened.

Five pieces of work, each written the same way: the problem, what I did, what changed. The numbers are the ones I can stand behind. Where the data is private, the receipt says so.

40.9% of meetings in the morning, against a 30–35% peer target internal data · methodology on request

Course-scheduling study, NYIT

Graduate Research Assistant, Data Science · Jan 2025 – Jun 2026 · [with Dr. Cecilia Dong — confirm ok to name]

Challenge
The department needed a factual picture of how sections, meeting times, and enrollment were actually distributed across the schedule, and where that diverged from peer targets. [confirm framing]
Action
Cleaned and reconciled 15,242 raw registrar records into 8,729 sections and 11,803 meeting instances, then defined and computed the metrics that mattered: time-of-day share, overenrollment by format, Friday load.
Result
40.9% of meetings fell in the morning against a 30–35% peer target; 24.2% of lectures were overenrolled; 10.0% of meetings sat on Fridays. Scope: 3,300+ undergraduates. [where the findings went / what changed — fill]
40+ AI/ML and full-stack products shipped to clients altechra.com ↗

Production AI systems, Altechra

Founder · Apr 2025–present · New York

Challenge
Clients want LLM features that behave in production, not in a demo: predictable outputs, human review where the stakes are high, and evidence that the system works before it ships.
Action
Designed and shipped the systems end to end: RAG pipelines, LLM agents with human-in-the-loop review, tool calling and structured outputs, evaluation harnesses, and the full-stack products around them (Python, React, Node.js, AWS, Docker, CI/CD).
Result
40+ products shipped. Two anonymized examples: a SaaS product delivered with a 98-test suite, and a system processing 600+ emails per weekday across 45 mailboxes. Client names stay private.
85% résumé–job matching accuracy github.com/Zulqarnain-10/JobCraft ↗

JobCraft

Personal project · Jun–Sep 2025 · open source since Aug 2026

Challenge
Keyword search misses the real overlap between a résumé and a role, so job seekers wade through listings that were never a fit.
Action
Built a multi-agent system that reads the résumé and the posting and scores fit through semantic matching over vector embeddings with NLP scoring (Python, LangChain, OpenAI API), then containerized it on AWS EC2 with Docker and GitHub Actions CI/CD.
Result
85% résumé–job matching accuracy. Released the code publicly in Aug 2026.
94% query accuracy on the evaluation set GitHub ↗

MedBot

Personal project · Feb–May 2025

Challenge
A medical Q&A assistant that guesses is worse than none. Answers had to be grounded and measurable.
Action
Built a retrieval-grounded (RAG) medical question-answering assistant: trusted medical PDFs embedded into a Pinecone vector knowledge base with Sentence Transformers, orchestrated with LangChain, and served through a Flask app.
Result
94% query accuracy on the evaluation set, scored with precision, recall, and F1.
+15% revenue, with reporting time cut by 30% internal · details on request

Operations analytics, NSK

Data & operations analytics · part-time · Aug 2024–present · petroleum wholesale, Brooklyn

Challenge
Pricing, sales, and day-to-day reporting were manual, so trends and problems surfaced late.
Action
Built the pricing and sales analysis layer over operations data (Python, Excel), automated the recurring reports, and turned the findings into KPIs the owners now track.
Result
Pricing and sales trends contributed to a 15% revenue increase; automated reporting cut manual processing time by 30%. Ongoing.

More builds

  • Material classification · CNN over fused sensor data, PEC-funded FYP96% accuracy
  • Disease prediction modelGitHub ↗
  • Credit scoring modelGitHub ↗
  • Handwritten character recognitionGitHub ↗
  • Behavioral risk factor analysis, tobacco useGitHub ↗
  • Data science mastery, exploration to predictionGitHub ↗

Good models are easy. Shipped systems are hard. I've spent the last two years living in both worlds — researching LLMs at NYIT by day, and putting AI into production across 40+ real products.

Stack

What I work with

Analysis & modeling

  • Python
  • SQL
  • PyTorch
  • scikit-learn · pandas
  • Statistics

LLM systems

  • RAG · LangChain · LangGraph
  • Hugging Face
  • Tool calling · structured outputs
  • Evaluation harnesses
  • Human-in-the-loop review

Shipping

  • AWS · Docker
  • CI/CD · Git
  • Flask · Streamlit
  • React · Node.js

Listed only what I have used on shipped work. [A/B testing, causal inference, forecasting, Power BI, MLflow/DVC, SageMaker: add here only after the matching gap project ships — see 04-gap-project-plan]

Founder & CEO

I also run an agency — meet Altechra.

I founded Altechra to bridge clients with world-class engineering talent. We have delivered 40+ products — SaaS platforms, AI systems, fintech and mobile apps — with me leading discovery, architecture, and delivery end to end.

It's where my data science meets the real world: scoping ambiguous problems, managing teams, and being accountable for outcomes, not just models.

Visit Altechra ↗ Start a project
40+products delivered across web, mobile & AI
E2Ediscovery → architecture → deployment → support
5★Upwork-verified client reviews on altechra.com

About

Rigor from research, delivery from running a shop.

I'm Syed Zulqarnain Hassan, a data scientist and ML engineer. I finished my MS in Data Science at NYIT in May 2026, where I received the Data Science Graduate Achievement Award at the CoECS Commencement Awards Ceremony and worked as a Graduate Research Assistant on LLM and semantic-search research and a course-scheduling study covering 3,300+ undergraduates.

Alongside school I built Altechra into a shop that has shipped 40+ AI/ML and full-stack products for clients, and I hold Top Rated status on Upwork across 38+ contracts. I also run the data and operations analytics for NSK, a petroleum wholesale business in Brooklyn, part-time.

Away from the keyboard: football (Manchester United, for better or worse), and family. Every milestone on this page belongs to my parents first — they stood up for my education when it wasn't easy.

If a full-time Data Scientist, Data Analyst, Machine Learning Engineer, or AI Engineer role is why you're here: I'm a U.S. citizen, no sponsorship needed, open to any U.S. location — on-site, hybrid, or remote.

Data Science Graduate Achievement Award certificate, New York Institute of Technology
Data Science Graduate Achievement Award · NYIT CoECS · May 2026
  • LocationOpen to all U.S. locations · currently New York
  • StatusAvailable now · U.S. citizen · no sponsorship needed
  • EducationMS Data Science, NYIT, May 2026 · Data Science Graduate Achievement Award
    BS Electrical Engineering, FAST-NUCES Lahore, 2024 [confirm: keep BS line?]
  • ElsewhereLinkedIn · GitHub · Upwork · Altechra

Kind words

What people say.

He'll be the best candidate you ever meet.
Yan Li · Applied Data Scientist, PhD Neuroscience · graduate coursework teammate at NYIT
I believe he'll be a valuable asset to any team.
Muhammad Talha · Senior AI R&D Engineer, Aerodyne Group

Both from my LinkedIn recommendations — full text on my profile.

Education

From Lahore to New York.

Zulqarnain in regalia beside the New York Institute of Technology banner at commencement
MS Data Science · NYIT, Class of 2026
New York Institute of Technology building at Columbus Circle, New York City
NYIT · New York City
FAST-NUCES campus, Lahore
BS Electrical Engineering · FAST-NUCES, Lahore

Contact

Building something with data? Say hi.

A role, a collaboration, or a question about anything on this page — my inbox is open, and email is the fastest way in. No deck required.

zulqarnainhsyed@gmail.com
Résumé (PDF) LinkedIn GitHub Upwork