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AI Engineer with 1+ years in Generative AI & Computer Vision
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Results-oriented AI & ML Engineer with a BSc in Software Engineering. Proven track record in designing scalable AI solutions, ranging from Generative AI (Conversational AI Agents, Voice Cloning, RAG) to Computer Vision pipelines. Proficient in Python, PyTorch, and FastAPI, with strong expertise in deploying models into production environments. Passionate about bridging the gap between complex research ,user-friendly software applications and Building Saas Product .
University of Science and Technology, Bannu
BSc · Software Engineering
N/A – June 30, 2022
Marq Networks
AI Engineer
January 1, 2026 – Present
India
Jabiru Labs
AI & ML Engineer
January 1, 2025 – Present
India
NAVTTC (National Vocational & Technical Training Commission)
Technical Instructor (AI & Data Science)
September 1, 2024 – November 1, 2024
India
Upwork / Remote
Machine Learning Engineer (Freelance)
June 1, 2022 – December 1, 2024
India
Ezitech Institute
Machine Learning Intern
January 1, 2022 – December 31, 2022
India
Multi-Format Document Processing API
June 27, 2026 – Present
Developed a robust RESTful API capable of handling complex document manipulations including PDF conversion (Word, Excel, PPT, HTML, JPG to PDF) and modification (Merge, Split, Compress). Implemented a "Word Counter" and "PDF-to-Editable" feature utilizing OCR (Tesseract) and pdf2docx libraries. Engineered the system using Asynchronous (Async/Await) endpoints in FastAPI to handle concurrent user requests without latency bottlenecks.
Deepfake Video Detection System
June 27, 2026 – Present
Achieved 99% detection accuracy on the DFDC dataset using an ensemble of CNNs and Vision Transformers. Implemented frame-by-frame analysis pipelines to detect temporal inconsistencies in manipulated videos.
Retrieval-Augmented Generation (RAG) System
June 27, 2026 – Present
Built an intelligent document retrieval system combining LLMs with semantic search. Integrated context-aware pipelines to allow users to "chat" with their own PDF data, significantly improving information retrieval speeds.
Biomedical Image Segmentation
June 27, 2026 – Present
Designed segmentation models for Thyroid Cancer and Brain Tumor detection, improving diagnostic precision on MRI datasets.
Universal Image Converter Microservice
June 27, 2026 – Present
Built a high-performance microservice to convert images between 20+ formats (JPG, PNG, WEBP, TIFF, BMP) with zero quality loss. Integrated batch processing capabilities, allowing users to upload and convert 50+ images simultaneously. Deployed the solution using Docker containers to ensure consistent performance across development and production environments.
Deep Learning Specialization - Andrew Ng
Coursera
June 1, 2026 – Present
Machine Learning Engineering for Production (MLOps)
DeepLearning.AI
June 1, 2026 – Present
AWS Certified Machine Learning - Specialty
AWS
June 1, 2026 – Present
Hugging Face Transformers: Fine-tuning LLMs
Hugging Face
June 1, 2026 – Present
Advanced Python for Data Science & Machine Learning
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from professional API development to personal research in Deepfake detection and RAG systems, demonstrates a strong passion for AI and continuous learning. Their experience in both corporate and freelance settings, coupled with an instructor role, indicates adaptability and a willingness to share knowledge. The focus on building SaaS products and understanding project economics aligns well with a product-driven culture. The breadth of skills and technologies used suggests a proactive approach to adopting new tools and methodologies.
Soft Skills & Operational Fit
The candidate's experience as a Technical Instructor and freelance ML Engineer suggests strong communication, mentorship, and client management skills. Their focus on building SaaS products and understanding project technicalities like cost and security indicates a business-oriented mindset and operational awareness. The ability to work on diverse projects (freelance) and lead teams (instructor) points to adaptability and collaboration.