Hamza Khan

AI Researcher

New Delhi, Delhi, India2 yrs 7 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Led teams to optimize AI architectures, saving $150,000.
Developed multiple high-impact AI solutions across industries.
Expert in full-stack AI development and NLP.

Stackforce AI infers this person is a skilled AI Engineer with expertise in NLP and chatbot development across healthcare and legal sectors.

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Skills

Core Skills

Artificial Intelligence (ai)Natural Language Processing (nlp)Chatbot DevelopmentAi Optimization

Other Skills

AI AgentsAPI DevelopmentAWSAmazon Web Services (AWS)AstraDBAzureAzure OpenAIC (Programming Language)Cascading Style Sheets (CSS)CassandraContinuous Integration and Continuous Delivery (CI/CD)Convolutional Neural Networks (CNN)Data AnalyticsData ScienceDeep Learning

About

AI & ML Engineer with 2 years of experience leading teams and deploying scalable solutions in LLMs, RAG, NLP, and Generative AI. Proven expertise in optimizing architectures, reducing costs up to $150,000 and driving workflow automation across legal, healthcare, and finance domains. Specializes in full-stack AI development, model fine-tuning, and cross-functional collaboration.

Experience

2 yrs 7 mos

Total Experience

8 mos

Average Tenure

11 mos

Current Experience

Stealth startup

AI Engineer

Jul 2025 – Present · 11 mos

Gravitas ai

AI Engineer

Oct 2024 – Jun 2025 · 8 mos

Led and mentored 4 AI interns and 2 AI engineers in extensive R&D initiatives, conducting 30+ code reviews, which reduced debugging time per project from 5 hours to 2.5 hours.
Proposed and implemented a chatbot architecture update, leading to a $150,000 entitlement optimizing API calls and infrastructure utilization.
Took ownership of 3 additional projects, delivering them ahead of schedule by 2-4 weeks, ensuring high client satisfaction.
Projects
Built a real-time voice bot for campaigns and FAQs using WebSocket, WebRTC (VAD), and AWS, enabling 95%+ real-time response accuracy and reducing manual call handling by 80%.
NLP Retrieval System: Developed an efficient NLP-based document retrieval system, improving query accuracy from 60% to 81%.
Refactored and optimized chatbot backend by integrating AI agents, Speech-to-Text (STT), and Text-to-Speech (TTS), reducing latency by 30% and eliminating hallucinations in responses.
Indian Council of Medical Research Chatbot: Enhanced response accuracy from 65% to 97%, reducing average response time from 12 seconds to 5 seconds.
AI-Powered Resume Builder: Developed an automated resume generation tool, reducing manual effort from 1.5 hour per resume to just 20 minutes.
Lex-Based Chatbot Development: Delivered chatbot solutions for 5 enterprise clients, enhancing customer engagement.

Chatbot DevelopmentAPI DevelopmentNatural Language Processing (NLP)Generative AIArtificial Intelligence (AI)AWS

Techenhance

AI Engineer

Feb 2024 – Sep 2024 · 7 mos · Bengaluru, Karnataka, India

Mentored 2 AI interns and 1 AI engineer, reducing development time per project by 15-20 hours through process improvements and better documentation.
Projects
Legal DST: Built an AI-powered chatbot enabling faster retrieval of 500,000+ legal documents, reducing search times from 15 seconds to 5 seconds, while cutting operational costs by $75,000 per year.
OCR-Based Invoice Automation: Automated 90% of manual data entry, processing over 10,000 invoices per month.
AI Avatar Chatbot: Integrated Azure’s Text-to-Speech and Speech-to-Text APIs, enabling seamless conversations with 95% speech recognition accuracy.
Fine-Tuning Open Source LLMs: Optimized Llama, Falcon, Gemma, and Mixtral models on custom datasets of 220k records, improving task-specific performance by 25%, while reducing compute costs by 70% using QLoRA & Unsloth.

Chatbot DevelopmentNatural Language Processing (NLP)AI OptimizationAzureOCRArtificial Intelligence (AI)

Training and placement cell, department of statistics and operations research

Student Coordinator

Sep 2023 – May 2024 · 8 mos · Aligarh, Uttar Pradesh, India · On-site

Pagalguy

Machine Learning Intern

Sep 2023 – May 2024 · 8 mos · Mumbai, Maharashtra, India

Developed and optimized high-frequency trading (HFT) strategies, increasing prediction accuracy from 55% to 76%.
Accelerated data processing speed by 20%, handling real-time market data feeds 10% faster than previous models using Pandas and NumPy.