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Hello! I am Hamza Shaikh, an AI Engineer with 6+ years of experience building enterprise-grade LLM applications, ML models, and automation across financial compliance, sentiment analysis, and chemical research domains. I thrive on turning complex problems into robust, scalable AI systems and enjoy delivering production-grade solutions that drive real impact. I am proficient in Python, TensorFlow, PyTorch, LangChain, FastAPI, and AWS, and I love architecting end-to-end data and AI pipelines, from model training to API deployment and monitoring. When I'm not coding, I enjoy collaborating with cross-functional teams to ship reliable, maintainable AI products.…Hello! I am Hamza Shaikh, an AI Engineer with 6+ years of experience building enterprise-grade LLM applications, ML models, and automation across financial compliance, sentiment analysis, and chemical research domains. I thrive on turning complex problems into robust, scalable AI systems and enjoy delivering production-grade solutions that drive real impact. I am proficient in Python, TensorFlow, PyTorch, LangChain, FastAPI, and AWS, and I love architecting end-to-end data and AI pipelines, from model training to API deployment and monitoring. When I'm not coding, I enjoy collaborating with cross-functional teams to ship reliable, maintainable AI products.

Hamza Shaikh

AI Engineer, Data Scientist, Full Stack Developer, +2

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Hello! I am Hamza Shaikh, an AI Engineer with 6+ years of experience building enterprise-grade LLM applications, ML models, and automation across financial compliance, sentiment analysis, and chemical research domains. I thrive on turning complex problems into robust, scalable AI systems and enjoy delivering production-grade solutions that drive real impact. I am proficient in Python, TensorFlow, PyTorch, LangChain, FastAPI, and AWS, and I love architecting end-to-end data and AI pipelines, from model training to API deployment and monitoring. When I'm not coding, I enjoy collaborating with cross-functional teams to ship reliable, maintainable AI products.…Hello! I am Hamza Shaikh, an AI Engineer with 6+ years of experience building enterprise-grade LLM applications, ML models, and automation across financial compliance, sentiment analysis, and chemical research domains. I thrive on turning complex problems into robust, scalable AI systems and enjoy delivering production-grade solutions that drive real impact. I am proficient in Python, TensorFlow, PyTorch, LangChain, FastAPI, and AWS, and I love architecting end-to-end data and AI pipelines, from model training to API deployment and monitoring. When I'm not coding, I enjoy collaborating with cross-functional teams to ship reliable, maintainable AI products.

Available to hire

Hello! I am Hamza Shaikh, an AI Engineer with 6+ years of experience building enterprise-grade LLM applications, ML models, and automation across financial compliance, sentiment analysis, and chemical research domains.
I thrive on turning complex problems into robust, scalable AI systems and enjoy delivering production-grade solutions that drive real impact. I am proficient in Python, TensorFlow, PyTorch, LangChain, FastAPI, and AWS, and I love architecting end-to-end data and AI pipelines, from model training to API deployment and monitoring. When I’m not coding, I enjoy collaborating with cross-functional teams to ship reliable, maintainable AI products.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

AI Engineer at 2H Technology

January 1, 2020 - December 1, 2021

Successfully managed three end-to-end ML projects serving 50k+ users; engineered custom algorithms achieving 90% accuracy across classification, NLP, and recommendation modules; led automation initiatives reducing manual data processing time by 70%; spearheaded data scraping and ETL automation increasing team productivity by 60%; developed NLP-based sentiment analysis system categorizing user posts with 85% accuracy using RNNs and encoder–decoder architectures.

AI Engineer at O2H Technology

January 1, 2022 - June 1, 2022

Developed a sentiment-based chat module using GenAI for a platform with 10k+ monthly active users; led end-to-end implementation including API design, deployment, and model optimization; performed model selection, fine-tuning, and prompt engineering across 15+ LLM variants, achieving 92% sentiment classification accuracy and reducing response time by 40%.

Data Scientist at NetWorth Corp

January 1, 2022 - June 1, 2022

Developed ML-based route prediction system for chemistry research, helping scientists optimize molecular synthesis pathways; executed data analysis projects using Python, Power BI, and statistical methods for chemical manufacturing optimization; reduced chemical synthesis iterations by 3–4 cycles on average, decreased chemical waste by 15–20%, and saved annual material costs; built predictive models to minimize synthesis routes, reducing time and resource consumption by 25% across 100+ research projects.

AI Engineer at Diverge AI

September 1, 2023 - February 1, 2024

Developed a sentiment-based chat module using GenAI from inception for a platform with 10k+ monthly active users. Led end-to-end implementation including API design, deployment, and model optimization; performed model selection, fine-tuning, and prompt engineering across 15+ LLM variants; achieved 92% sentiment classification accuracy and reduced response time by 40%.

Founding AI Engineer at Comply Stream

December 1, 2024 - February 1, 2026

Designed enterprise-grade LLM applications using AWS Bedrock, LangChain, and Transformers; reduced infrastructure costs by 50%. Led development of FinCrime AI agents serving 200+ analysts, improving workflow efficiency by 3x and response accuracy by 40%. Built production-grade FastAPI-based APIs with 99.9% uptime, integrating prompt versioning, monitoring, and automated evaluation pipelines for LLM hallucination tracking; implemented serverless architectures with AWS Lambda, S3, and EC2 to serve domain-specific models; achieved 30% token reduction via prompt engineering and data optimizations. Implemented custom prompt engineering and fine-tuned LLMs on 10k+ domain-specific examples; increased model accuracy from 65% to 75% for financial compliance tasks.

AI Engineer at O2H Technology

January 1, 2020 - December 1, 2021

Successfully managed three end-to-end ML projects serving 50k+ users. Engineered custom algorithms achieving 90% accuracy across classification, NLP, and recommendation modules. Led automation initiatives, reducing manual data processing time by 70%. Spearheaded automation of data scraping and ETL pipelines; optimized team productivity by 60% through intelligent workflow automation. Developed NLP-based sentiment analysis system categorizing user posts by company values with 85% accuracy using RNN and encoding-decoding algorithms.