Momin Q.
Founding GenAI Engineer
Experience
Jul 2025 - Present
4 monthsCanada
Founding GenAI Engineer
Tyce.ai
- Contributing as one of three core developers building and scaling Tyce’s AI-powered document assistant.
- Implemented the “Tyce Agent” using PydanticAI, including fine-tuning agent behavior, designing the agent tools, streaming responses, and optimizing
- Optimized agentic RAG search by implementing contextual retrieval.
- Implemented custom HTML splitter for more stable and style-aware document chunking.
- Scaled data ingestion pipeline to handle 100,000+ in a few minutes by moving ingestion to AWS Lambda.
- Used advanced techniques, including chunking optimization, parallel processing, and selective processing, to cutdown processing costs and time by 20% - 90%, depending on the document.
- Participating in product roadmap and architecture discussions, helping shape both technical direction and user experience.
- Stack: Pydantic AI, FastAPI, Python, PostgreSQL, AWS Lambda, SST, OpenAI API, Docker, CI/CD
Sep 2022 - Jul 2025
2 years 11 monthsUnited States
Software Engineer / Team Lead
Turing
- Architected data pipelines that curated and transformed 10 000+ multimodal samples (2M+ tokens) for training state-of-the-art LLMs using the latest training formats (RLHF, SFT, DPO, ORPO, etc.)
- Fine-tuned and evaluated code-generation and chat models with Hugging Face Transformers, raising pass-@-1 accuracy to 70% and cutting hallucinations by 18%.
- Built an automated evaluation harness that reduced model validation cycles by 40%.
- Rolled out semi-supervised active-learning workflows and auto-labeling pipelines that slashed manual QA effort by 5x.
- Led a cross-functional team of 12 data engineers, mentoring them on prompt engineering, dataset design, and scalable MLOps best practices.
- Implemented robust PII and toxicity detection in Python & SQL, achieving 99.2% precision and ensuring SOC 2 / GDPR compliance.
- Deployed GenAI services on Kubernetes with GitOps practices using GitHub CI/CD pipelines, streamlining production rollout and rollback.
- Integrated models with external platforms like ServiceNow to enable real-time AI-assisted workflows.
- Provisioned cloud infrastructure on AWS, GCP, and Azure using Infrastructure as Code (IaC) to deploy and manage GenAI training utilities—including evaluation harnesses, data pipelines, and model serving—while maintaining a 99.99% SLA.
- Stack: Python, PyTorch, Hugging Face, SQL, Airflow, Docker, Kubernetes, GitHub, GitOps, Terraform, AWS, GCP, Azure, ServiceNow
Jul 2021 - Aug 2022
1 year 2 monthsLahore, Pakistan
Software Engineer
Arbisoft
- Played a key role in developing and maintaining robust cloud-based ETL pipelines for a leading fashion analytics platform, ensuring a reliable flow of 4 TB+ raw data daily.
- Collaborated with a fully remote team across 3 time zones, leveraging sprint rituals and clear documentation to hit 95% of roadmap milestones on schedule.
- Re-engineered the extraction component of a fashion analytics pipeline (20k+ lines), shrinking daily runtime by 36% and saving $45k per year in compute.
- Built and maintained full-stack features: React dashboards for merchandising teams, backed by Django REST API endpoints and AWS API Gateway.
- Ensured data integrity and performance with automated tests (PyTest + Cypress), reaching 85% coverage and daily CI runs.
- Deployed micro-frontends and Python services via Docker/Kubernetes and Terraform, enabling blue-green releases with <5 min rollback.
- Stack: Django, React, Scrapy, AWS (EC2, DynamoDB, Redshift, Lambda, Glue), Airflow, GitLab, Kubernetes
Jun 2019 - Aug 2019
3 monthsLahore, Pakistan
Web Development Intern
Women In Struggle for Empowerment (WISE)
- Improved API response time 55% and boosted uptime to 99.8% by refactoring Django ORM queries.
- Migrated the website’s hosting and database from shared cPanel to AWS EC2 and Amazon RDS, improving reliability and scalability.
- Stack: Python, Django, MySQL, AWS EC2, AWS RDS, cPanel
Jan 2019 - Jul 2021
2 years 7 monthsData Science & Game Development
Freelance Consultant
- Delivered 100+ contracts ranging from predictive analytics to indie games.
- Built real-time analytics platform on GCP handling 60k events/sec; reduced query latency from 2 s to 200 ms.
- Optimized PySpark pipelines, lowering cluster costs 22% through improved partitioning.
- Stack: Python, C++, Rust, Go, JavaScript, C#, Java, Unity, PySpark, AWS, GCP
AI Image Colorization Tool
- Co-developed model colorizing 100 high-res landscape images per minute with 30% higher SSIM than baseline.
Movie Recommendation System
- Designed & built a chat-based LLM movie recommender using Python, Hugging Face Transformers, Mistral-7B, LoRA/PEFT, and SQLite (FTS5 + vector blobs); ingested >1 M TMDb + IMDb titles with plots, genres, and embeddings for low-latency semantic search and sophisticated multi-filtered recommendations.
- Exposed the catalogue through an Mistral-based function-calling API with FastAPI, letting the model auto-fill JSON queries and rank candidates.
- Containerised with Docker and deployed inference on GroqCloud, streaming >3 k tokens/s; added token-level logging, cost monitoring, and CI/CD scripts for automated model refreshes.
Phonon - Cross-Platform Image Viewer
- Developed high-performance viewer (<200 ms cold start, <50 MB RAM) for Win/Linux/macOS.
- Adopted by friends for design workflows; praised for speed and minimal UI.
Veritas - Android E-Book Reader
- Built MVP in 90 days; ran UX study with 20 pilot users.
- Added AI-based book recommendations increasing reading session length 20%.
Summary
Results-driven Fullstack Developer with a strong foundation of 5+ years in software engineering, including Python, JavaScript, C++, and modern web framework (React, Next.js, Django, FastAPI, Flask). Experienced in leading engineering teams (up to 12 members) to achieve significant performance gains. Passionate about clean architecture and rapid prototyping to the development of GenAI solutions. Proficient with cloud platforms and container orchestration, consistently delivering robust and scalable systems ready for AI integration.
Experienced with fine-tuning and evaluation of LLMs.
Languages
English
NativeUrdu
NativeHindi
AdvancedPunjabi
AdvancedJapanese
ElementaryEducation
Aug 2017 - Aug 2021
FAST-NU Lahore
Bachelor of Science · Computer Science · Lahore, Pakistan
Need a freelancer? Find your match in seconds.
Try FRATCH GPT More actions
Similar Freelancers
Discover other experts with similar qualifications and experience
- English
- Deutsch
2025 © FRATCH.IO GmbH. All rights reserved.