I'm
Hamza
Khan
Resume
GitHub
About Me
AI Engineer specializing in GenAI, LLMs, Chat bots, NLP, GANs, Computer Vision, Machine Learning, Deep Learning, MLOps and LLMOps. Developed Legal DST chatbot based on OpenAI and RAG architecture. Proficient in Python, Node JS, CICD pipelines, Azure, AWS, Docker and Flask with a commitment to continuous learning and professional growth.
Education
MSc. Data Science
Aligarh Muslim University - AMU
Aligarh
B.Tech (Mechanical Engg)
Z.H.C.E.T
Aligarh Muslim University - AMU
Aligarh
Experience
Artificial Intelligence Engineer
Bengaluru
TechEnhance IT Services Pvt Ltd
• Developed a ‘Legal DST’ LLM chatbot designed for legal professionals to efficiently search court judgments and related legal documents.
oTech Stack: OpenAI API, Assistant API, Azure Services, API development, Node JS
o Enhanced the initial architecture proposed to ensure optimal performance and usability which lead to reduction in running costs of application up to 25%.
• Developed OCR based application for automating invoice’s details extraction using Multimodal LLM.
o Tech Stack: OpenAI GPT 4, Gemini Vision Pro, Azure, Flask
o Enabled efficient data extraction, reducing manual effort and errors by leveraging advanced AI for precise and rapid processing of large volumes of invoices.
Artificial Intelligence Intern
Bengaluru
TechEnhance IT Services Pvt Ltd
• Developed a chatbot with RAG model using OpenAI API and Gemini API.
o Tech Stack: Azure AI Search, OpenAI API, Gemini API, Astra DB (Vector DB), Flask, HTML, CSS, JS.
o Executed seamless CICD deployment using Azure Web App for efficient integration.
• Fine-tuned Open Source Models with minimal parameter (2B-8B) on custom data and built Flask application.
o Tech Stack: HuggingFace, Llama, Azure, AWS, QLoRA, Unsloth, Gemma, Mixtral, Falcon, Flask.
o Fine-tuned Open Source models for less compute resource utilization and low running cost.
Machine Learning Intern
Mumbai
Inzane Labs
• Designed and used various trading strategies, making predictions more accurate.
• Made data work at least 20% faster using Pandas and Numpy.
• Benefitted the company by improving algorithmic trading capabilities.
Skills
• GenAI
• GANs
• LLM
• Chatbot
• RAG
• Audio Transcription
• MLOps
• NLP
• Computer Vision
• Machine Learning
• Deep Learning
• Web Deployment
• CICD Pipelines
• Neural Networks
• Python
• Node JS
• Azure
• AWS
• Docker
• Langchain
• Huggingface
• OpenAI
• Gemini
• Heroku
• Keras
• TensorFlow
• Open CV
• PyTorch
• Flask
• Streampt
• MySQL
• AstraDB
• GitHub
• Postman
Projects
- All
- GenAI
- NLP
- Computer Vision
- Regression/Classification