Sanaraiz Khan
@sanaraizkhan
Product manager and AI engineer specializing in ML-driven automation and predictive modelling.
What I'm looking for
I am a product manager and AI engineer focused on building ML-driven products that solve real-world problems and improve operational efficiency.
At Enlatics I led development of AML/KYB capabilities and a real-time adverse media solution (Media Watcher), owning data pipelines, AI modelling, NER, sentiment analysis, PRDs and KPIs while coordinating cross-functional teams.
With the IAEA I developed a multi-model XGBoost approach for soil moisture forecasting (7-day cumulative accuracy ~73%) and presented results at major conferences. I also led an epilepsy detection and prediction project using P-1D-CNN, achieving 78% prediction and 96% detection accuracy.
I have delivered freelance projects spanning large-scale lead-generation datasets, voice transcription and AI agents for SEO and map search automation, and I work across vector DBs, LLMs, agentic AI and full ML stacks to turn research into production-ready features.
Experience
Work history, roles, and key accomplishments
Associate Techinical Product Manager
programmers Force
Jul 2024 - Present (1 year 3 months)
Combining AI with Anti-Money Laundering (AML Watcher) and Know Your Business (TheKYB) solutions. Team lead to develop AI based Real-time adverse media solution - Completed (Media Watcher)
Data Pipelines, AI Modelling, NER, Sentiment analysis, PRD’s, KPI’s, New Features, Competitor Analysis, Market Research, Client Queries etc.
AI agents for Automations and Optimizations
Machine Learning Engineer Intern
International Atomic Energy Agency (IAEA)
May 2023 - May 2024 (1 year)
Collected and preprocessed global CRNS, remote sensing, and weather station data and developed a multi-model XGBoost approach to forecast soil moisture, achieving 73% 7-day accuracy and presenting findings at international conferences.
Associate Project Lead (AI)
National Center of Artifical Intellegence
Oct 2022 - Apr 2023 (6 months)
Led development of a mobile application, with hardware integeration for epilepsy detection using a deep learning approch, trained P-1D-CNN on EEG signals, achieving 78% prediction accuracy and 96% detection accuracy.
Delivered a 6M-entry US business lead-generation dataset and implemented voice transcription/bots (local Open-Whisper) and multiple e-commerce websites for clients.
Education
Degrees, certifications, and relevant coursework
University of Engineering and Technology
Bachelor of Engineering, Computer System Engineering
2019 - 2023
Grade: 3.2
Activities and societies: Ignite - Tec Event Lead a team of 20 members to make a successful event of around 400 people MagaBuzz - Funfair - Lead a subteam of 8 people Blood Heroes Campaign - Dealt with the Financials Flood relief Campaign - Management and Supply
Bachelor of Engineering with a major in Computer System Engineering and a minor in Artificial Intelligence Engineering, completed in 2023.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
Skills
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