AI/ML Engineer
Specializing in NLP, Generative AI, MLOps, and full-stack AI application development. Building intelligent systems that solve real-world problems.
Core Technologies
ABOUT ME
Who I Am
I'm Hammad Nasir, an AI/ML Engineer with hands-on experience in NLP, Generative AI, LLM fine-tuning, and full-stack AI application development. I specialize in designing end-to-end ML pipelines and deploying scalable models on AWS and Azure.
My passion lies at the intersection of machine learning and software engineering, where I build production-grade AI systems that solve real-world problems. I bring deep expertise in MLOps best practices, transformer architectures, and scalable cloud-native deployments across diverse domains.
Completed my B.E. in Computer Systems Engineering from UET Peshawar in 2025 with Distinction, while actively working on AI projects and continuously expanding my expertise in cutting-edge generative AI, agentic systems, and multimodal technologies.
Expertise Areas
AI & Machine Learning
PyTorch, TensorFlow, Scikit-learn
NLP & GenAI
LLMs, Fine-tuning, RAG, Agentic AI
Cloud & DevOps
AWS, Azure, Docker, GitHub Actions
Full-Stack Dev
FastAPI, Django, React, Next.js
TECHNICAL SKILLS
Skills & Technologies
AI / ML
NLP / GenAI
MLOps
Cloud
Backend
Frontend
PROFESSIONAL EXPERIENCE
Work Experience
Software Engineer – AI/ML
Cplusoft
Aug 2025 – Present
Islamabad
- •Designed and deployed NLP and LLM-powered solutions on AWS & Azure, including pipelines for text generation, summarization, and automation.
- •Built full-stack AI applications with FastAPI/Django backends integrated with AI model inference endpoints.
- •Created scalable data pipelines for preprocessing, feature engineering, and workflow automation.
- •Implemented web scraping & automation systems to curate and feed structured datasets into AI training pipelines.
AI Engineer Intern
Bave Technologies
Jul 2024 – Sep 2024
Peshawar
- •Worked on LLM models for text-to-speech, image generation, and video generation tasks.
- •Scraped Almeera & LinkedIn data using Python, Selenium & ScrapingBee.
- •Built MongoDB pipelines to feed data into AI training workflows.
- •Collaborated with team members on ML model development and optimization.
KEY PROJECTS
Featured Projects
Healix – AI-Powered Medical Chatbot
Developed a medical AI chatbot combining Gemini LLM with Tavily-powered web search across 20+ trusted medical sources for accurate, context-aware responses. Enabled multimodal capabilities using Whisper (STT & TTS) and implemented PDF scraping with Tesseract OCR for medical document processing.
Highlights
- Medical data accuracy
- Multimodal support
- Web search integration
Technologies
AI-Powered News Platform
Architected full-stack platform: Django backend, Next.js/Redux frontend, PostgreSQL (AWS RDS); built 200+ web scrapers with Redis deduplication processing thousands of articles daily. Integrated OpenAI GPT API for content regeneration, AI image generation, bilingual translation (EN/ES), and a database-powered AI chatbot.
Highlights
- 200+ web scrapers
- 500ms response time
- Auto-scaling infrastructure
Technologies
VocalTones – Multimodal Voice AI Platform
Built a multilingual Voice Cloning Playground using XTTS v2 supporting 8+ languages with LLM-powered Q&A; integrated Whisper TTS/STT, real-time voice changer (Librosa), and Text-to-SFX. Deployed full-stack app: responsive HTML/CSS/JS frontend connected to a Python FastAPI backend ensuring real-time cross-device interaction.
Highlights
- 8+ language support
- Real-time processing
- Voice cloning
Technologies
AI Image Generation System
Fine-tuned SDXL using LoRA for 20 epochs; applied dataset preprocessing, augmentation, and caption refinement to improve text-to-image alignment. Applied Real-ESRGAN upscaling for high-resolution output enhancement; integrated into an n8n automation pipeline with Leonardo AI.
Highlights
- 20 epoch fine-tuning
- High-res upscaling
- Automation pipeline
Technologies
Automated Meeting Notetaker
Built an agentic meeting bot with Gmail/Outlook integration & Playwright for auto-joining Google Meet/Teams; implemented multilingual caption extraction and synchronized A/V recording via FFmpeg. Engineered end-to-end pipeline: guest access handling, post-meeting processing, and secure storage on AWS S3.
Highlights
- Auto-join meetings
- Multilingual captions
- Secure storage
Technologies
EDUCATION
Education & Certifications
Formal Education
B.E. Computer Systems Engineering
UET Peshawar
Nov 2021 – Aug 2025
Peshawar
Coursework
Certifications
Data Science Bootcamp
AtomCamp
AI Agents for Everyone & AI Bootcamp
Udemy | Jet Drag Academy | School of AI
Meta Front-End Developer
Coursera
Responsive Web Design
FreeCodeCamp
JavaScript Algorithms & Data Structures
FreeCodeCamp
GET IN TOUCH
Let's Connect
Interested in discussing AI/ML opportunities, collaborations, or just want to chat? I'm always open to connecting with fellow engineers and innovators.
© 2026 AI/ML Engineer. All rights reserved. Built with Next.js & Tailwind CSS.