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M Armughan Javed

@marmughanjaved

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Senior AI & Data Science Engineer building production-grade healthcare and LLM systems.

Pakistan

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What I'm looking for

I’m looking for a role where I can build scalable ML and LLM agentic systems in production—ideally with healthcare-grade requirements—using AWS, automated pipelines, and measurable impact on speed, accuracy, and workflow quality.

I’m a Senior AI & Data Science Engineer with 6+ years of experience designing and shipping production-grade AI systems across healthcare, finance, and e-commerce. I specialize in ML pipelines, LLM powered agentic workflows, real time data processing, and HIPAA compliant cloud architectures on AWS.

Recently, at SutureHealth, I architected a HIPAA compliant care plan generation platform on AWS—cutting physician post visit documentation time by 60% and onboarding the first 3 enterprise clinic clients. I also improved GPT-4 + LangChain orchestration that converts raw doctor–patient audio into structured clinical encounter notes (estimated 45 minutes saved per physician per day), and delivered OCR + LLM classification extracting signatures and ICD 10 metadata from 10,000+ documents (97% bounding box precision).

Experience

Work history, roles, and key accomplishments

Current

Senior AI & Data Science Engineer

Current

SutureHealth

Aug 2024 - Present (1 year 10 months)

Architected a HIPAA-compliant patient care plan generation platform on AWS, reducing physician post-visit documentation time by 60% and onboarding the first 3 enterprise clinic clients. Built transcription and LLM agent workflows for structured clinical notes and medical document intelligence, achieving 94%+ transcription accuracy and 97% bounding-box precision across 10,000+ documents.

AWS Kinesis AWS Lambda AWS Textract OCR + LLM Classification

AI Engineer

Turing

Jan 2022 - Aug 2024 (2 years 7 months)

Designed and deployed BERT-based NLP pipelines for sentiment analysis and intent classification, improving accuracy by 20% on datasets exceeding 1M tokens/day. Built an intent discovery system that increased daily active chatbot users by 35% while serving 100+ concurrent users with sub-second response times and led Ford demand forecasting to reduce forecast error by 15% (MAPE).

BERT SpaCy NLTK Intent Discovery & Ranking Sentiment Analysis XGBoost Demand Forecasting

Machine Learning Engineer

Syntaxia

Oct 2020 - Jan 2022 (1 year 3 months)

Built document scanning and text extraction using Tesseract OCR with OpenCV preprocessing, achieving 92% extraction accuracy on low-quality scans for 1,500+ daily active users. Developed real-time traffic prediction for smart navigation (reducing commute time by 15% and boosting 30-day retention by 22%), built a TensorFlow customer segmentation engine improving CTR by 18%, and optimized image pipe

Tesseract OpenCV Real Time Traffic Prediction (LSTM + Map APIs)TensorFlow Customer Segmentation