
Hamza Shaikh
@hamzashaikh4
I build enterprise LLM agents that improve compliance workflows and reduce infrastructure costs.
What I'm looking for
At ComplyStream, I built enterprise LLM applications and FinCrime AI agents for 200+ financial analysts, improving workflow efficiency 3× and response accuracy by 40%.
I design production APIs, evaluation pipelines, and serverless AWS architectures using Bedrock, LangChain, Lambda, S3, and EC2. My prompt optimization reduced infrastructure costs by 50% and tokens by 30%.
At Diverge and O2H Technology, I delivered GenAI and sentiment-analysis products for platforms serving up to 50k+ users, improving classification accuracy, engagement, latency, and cloud costs.
I've also applied Python-based predictive modeling and data analysis to supply-chain, manufacturing, and chemical-research problems, including production-capacity improvements and reduced drug-synthesis waste.
Experience
Work history, roles, and key accomplishments
Founding AI Engineer
ComplyStream
Dec 2024 - Feb 2026 (1 year 2 months)
Designed enterprise-grade LLM applications using AWS Bedrock, LangChain, and Transformers, reducing infrastructure costs by 50%. Led development of FinCrime AI agents serving 200+ analysts, improving workflow efficiency by 3x and response accuracy by 40%.
AI Engineer
Diverge
Sep 2023 - Feb 2024 (5 months)
Developed a sentiment-based chatting module using GenAI for a platform with 10k+ monthly active users. Led end-to-end implementation including API design, deployment, and model optimization, achieving 92% sentiment classification accuracy and reducing response time by 40%.
Data Scientist
NetworthCorp
Jan 2022 - Jun 2022 (5 months)
Worked on supply chain and manufacturing optimization projects, applying data analysis and predictive modeling using Python, Power BI, and statistical methods. Contributed to a project optimizing assembly production parameters, increasing production capacity by 30% and reducing costs by up to 20%.
AI Engineer
O2H Technology
Jan 2020 - Dec 2021 (1 year 11 months)
Worked end-to-end across data-driven ML projects serving 50k+ users, from requirement gathering to deployment and client demos. Built a sentiment analysis module with 85% accuracy, automated Jira ticket creation, and developed a data scraper converting historical PDF records into structured data.
Education
Degrees, certifications, and relevant coursework
Gujarat Technological University
Bachelor of Engineering, Computer Engineering
2016 - 2020
Bachelor of Engineering in Computer Engineering from Gujarat Technological University, completed from 2016 to 2020.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Portfolio
ai-email-client-two.vercel.appSalary expectations
Job categories
Skills
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