Syed Anwar

I'm a Senior Data Scientist & Artificial Intelligence Engineer with over 5+ years of experience building AI-driven solutions and 3 years of experience in software and backend engineering. I help businesses design and deploy intelligent systems that automate decisions, optimize workflows, and generate measurable business impact.

My expertise spans Machine Learning, Deep Learning, Reinforcement Learning, Computer Vision, NLP, Generative AI, and Agentic Workflows, alongside strong data engineering skills — building scalable ETL/ELT pipelines, data warehousing, and workflow orchestration (Airflow, Spark) to ensure clean, reliable data feeds every model I build. This is supported by strong backend skills in Python and Go, using frameworks such as Django, Flask, FastAPI, and Go's standard libraries. This combination allows me to deliver end-to-end AI solutions, from data pipelines and model development to robust backend integration and API deployment.

I'm passionate about bridging the gap between AI research and real-world implementation, ensuring every solution is practical, scalable, and production-ready. As a Kaggle Expert, I continuously sharpen my modeling and analytical skills through real-world challenges and competitions.

Let's connect if you're exploring ways to integrate AI into your products, automate data workflows, or develop full-scale AI-powered systems. I'm open to collaborations, consulting, and project partnerships in AI, data science, data engineering, and backend development.

Senior Data Scientist — Appedology Pvt Ltd (Jul 2025–Present, Islamabad)

Built an AI-powered medical coding platform extracting clinical data from PDFs/images into structured ICD-10, CPT, HCPCS codes

Developed OCR-driven validation, bulk CSV/XLSX code generation, JWT admin APIs, and Stripe-integrated billing

Lead Data Scientist — AlphaSquad (Feb–Jul 2025, Islamabad)

Fine-tuned a persona-driven crypto Twitter AI agent achieving 98% signal accuracy

Shipped a RAG-integrated trading terminal using real-time CoinMarketCap data

Built an AI receptionist (n8n, Telnyx, ElevenLabs) reducing response latency to 850ms

Data Scientist — MetaViz Pro (Aug 2024–Feb 2025, Lahore)

Trained two Transformer models from scratch (5M & 19M parameters)

Built real-time yoga pose estimation and PPE-compliance facial recognition systems

Optimized a CNN for brain tumor detection, reaching 98% accuracy

Data Scientist — JMM Technologies (Sep 2023–Aug 2024, Peshawar)

Built a GPT-4o translation-error detection tool, improving accuracy 50%→90%, cutting costs 40%

Fine-tuned YOLOv8/v5 for ASL detection (Saudi Airport MVP)

Deployed ML pipelines on AWS; built Power BI dashboards

ML Engineer Associate — Government Innovation Lab (UNDP) (Nov 2022–May 2023, Quetta)

Led a 3-person team building a facial recognition attendance system (94% accuracy)

Contributed to a smart vehicle counting system

Data Science Intern — British Airways (Jun–Jul 2022, Quetta)

Analyzed 20,000+ booking records, uncovering drivers of a 27% cancellation rate

Research Assistant — University of Balochistan (Jan–Dec 2021, Quetta)

Trained a gender prediction model (99% accuracy)

Compared 4 detection models for license plate recognition (up to 86% accuracy), contributing to a publication

Bachelor's in Computer Science