AI Engineer with 2+ years in Machine Learning & Computer Vision
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Fresh Computer Science graduate (GPA: 3.82) specializing in Machine Learning, Deep Learning, and Computer Vision, with production experience building end-to-end AI/ML pipelines, training and deploying neural network models, and publishing open-source ML libraries. Hands-on expertise in PyTorch, Hugging Face, LangChain, and model optimization, with a track record of delivering measurable results across NLP, medical imaging, and generative AI domains.
University of Management and Technology
B.S. Computer Science · Computer Science
August 1, 2022 – June 30, 2026
Texense
AI/ML Engineer Intern
July 1, 2025 – September 1, 2025
India
University of Management and Technology
Teaching Assistant CS Core Courses
March 1, 2024 – Present
Lahore, Punjab, Pakistan
Silver Sentiment – Financial NLP Pipeline
January 1, 2026 – Present
Built a FinBERT-powered financial sentiment pipeline ingesting 500+ articles/day from 18 sources; engineered a multi-signal weighted macro scoring system with entity-level sentiment aggregation. Use api real time news, make a calculation for real-time signal to hold the gold and silver. Real-time AI integration for suggestions.
Radisist - Medical Imaging AI Platform (FYP)
January 1, 2026 – Present
Trained a BiomedCLIP modality router on 14k images achieving 100% test accuracy; fine-tuned disease-specific classifiers and SMP UNet++ segmentation models reaching up to 95% accuracy and 88.5% Dice score across 7 imaging modalities. Published trained models to Hugging Face; built full-stack Django platform exposing model inference via RESTful API endpoints with PostgreSQL-backed patient data pipelines.
View ProjectDeepContext Published Python ML Library
January 1, 2026 – Present
PyPI-published open-source agentic memory library with hierarchical concept graphs, BFS traversal, and hybrid RRF retrieval; 179 tests, fully async, adopted by external developers. Applied advanced data structure and algorithm design for context window management in LLM agents; documented with clear API interfaces and production-grade architecture.
View ProjectDocument Intelligence System
January 1, 2025 – Present
Engineered a scalable RAG pipeline with multi-source document ingestion (PDF, DOCX, HTML, images); implemented semantic search using vector embeddings with hybrid retrieval combining dense and sparse methods. Optimized retrieval quality through chunking strategies, re-ranking, and query augmentation; containerized full pipeline with Docker for reproducible ML-ready deployment.
View ProjectSehat Guftagu – Clinical NLP Application
January 1, 2025 – Present
Built an LLM-powered bilingual (Urdu/English) clinical web application using LangGraph multi-agent orchestration for patient triage, symptom analysis, and report generation across 5 modular AI service components. Implemented bilingual NLP processing with structured output parsing and entity extraction; integrated PostgreSQL relational storage for patient records and doctor-matching logic via a clean FastAPI backend.
View ProjectDeep Learning Specialization
Coursera
June 1, 2026 – Present
Data Scientist in Python
DataCamp
June 1, 2026 – Present
LLMS & MCPs
Hugging Face
June 1, 2026 – Present
ML Specialization
Coursera (Andrew Ng)
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including academic, personal, and open-source contributions, indicates a strong passion for AI and continuous learning. Their involvement in competitions and certifications further supports a proactive and growth-oriented mindset. The range of technologies and problem domains tackled suggests adaptability and a willingness to explore new challenges, which aligns well with an innovative and dynamic team culture. The target role of AI Engineer is a strong fit given their specialized skills and project experience.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through diverse project implementations and optimization efforts. Their experience as a Teaching Assistant suggests good communication and mentoring abilities. The publication of an open-source library indicates initiative and a collaborative mindset. The project descriptions are clear and detailed, reflecting good written communication.