Skip to content
View hzaheer48's full-sized avatar

Block or report hzaheer48

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
hzaheer48/README.md

Hi πŸ‘‹, I'm Hammad Zaheer

AI/ML Researcher | Full Stack AI Developer

Software Engineer with 2+ years of professional experience in full-stack development and AI/ML. Proven track record of delivering scalable, cloud-based, and AI-enabled solutions by seamlessly blending technical expertise with innovative problem-solving.

profile views

trophies

twitter badge

coding gif


πŸš€ About Me

  • πŸŽ“ Computer Science graduate, currently pursuing M.Sc. Artificial Intelligence at Friedrich-Alexander University Erlangen–NΓΌrnberg (FAU), Germany
  • πŸ’» 2+ years of experience across MERN Stack, AI/ML, and cloud-native applications
  • πŸ“Š Strong background in Supervised/Unsupervised Learning, NLP, Deep Learning, LLMs, MCPs, and Agentic AI
  • πŸ“§ Reach me at hmmdzaheer@gmail.com β€” always open for collaborations, research, and exciting project opportunities!

πŸ’Ό Experience

Software Engineer – BitSol Technologies (Mar 2025 – Sept 2025)
πŸ“ Dallas, Texas, US (HQ) | Hybrid – Islamabad, Pakistan

  • Engineered AI-powered Job Recommendation System & LMS serving 5k+ users
  • Deployed Dockerized microservices on GCP, cutting deployment time by 40%
  • Integrated Affinda APIs for CV parsing and AI-based job scoring, automating 70% of reviews
  • Implemented Stripe + SendGrid, increasing revenue conversion by 30% and email efficiency by 50%

Associate Web Engineer – BitSol Technologies (Mar 2024 – Feb 2025)

  • Optimized GraphQL APIs (query batching, caching), reducing response time by 50%
  • Migrated stack (React β†’ Next.js, Firestore β†’ PostgreSQL, Functions β†’ NestJs) scaling to 10k+ users
  • Secured file access with GCP Cloud Storage, improving retrieval speed by 40%

Software Developer – Land Information and Management System (Sep 2023 – Mar 2024)

  • Improved frontend performance with React.js, cutting load time by 20%
  • Optimized Django backend, improving processing efficiency by 25%
  • Refined MySQL queries and indexing, enhancing retrieval speed by 35%

πŸŽ“ Education

  • M.Sc. Artificial Intelligence – Friedrich-Alexander University Erlangen–NΓΌrnberg (FAU), Germany (Oct 2025 – Present)
  • B.S. Computer Science – Quaid-i-Azam University, Islamabad (2019 – 2023)
    • CGPA: 3.80 / 4.00 (2nd Position, Dean’s Honor List)

πŸ”¬ Projects


🀝 Connect With Me


πŸ› οΈ Languages & Tools

reactjs nodejs nextjs nestjs graphql postgresql
python tensorflow keras scikit-learn numpy pandas
firebase docker gcp django mysql git

πŸ† Honors & Awards

  • πŸ₯‡ 1st Place – International AI Hackathon (Zero Limits, Trae AI IDE)
  • 🌟 Multiple-time Employee of the Month – BitSol Technologies
  • πŸŽ–οΈ Dean’s Honor List – Quaid-i-Azam University (Top 2 in class)
  • πŸ₯‡ Winner – Inter-University Programming Competition

πŸ“Š GitHub Stats

top langs

github stats

streak stats

Pinned Loading

  1. AI-EnabledCarsPricePredictor AI-EnabledCarsPricePredictor Public

    Python

  2. CricketInfoApp CricketInfoApp Public

    CSS

  3. LegalSearchEngine LegalSearchEngine Public

    The Legal Search Engine facilitates the retrieval of Supreme Court of Pakistan judgments and orders. It involves data collection, vocabulary generation, inverted index construction, and ranking of …

    Python 2

  4. OnlineShopping OnlineShopping Public

    EJS

  5. Yield Yield Public

    A data-driven project that predicts crop yield using machine learning algorithms including Support Vector Regression (SVR), Random Forest, Neural Networks, and KNN. The pipeline covers data cleanin…

    Jupyter Notebook

  6. Thyroid Thyroid Public

    A machine learning project for diagnosing hyperthyroidism using thyroid function test data, symptoms, and medical history. Applied Multinomial Naive Bayes, SVM, Random Forest, and MLP classifiers w…

    Jupyter Notebook