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AI Engineer with less than a year in Generative AI, LLMs & Data Science
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Assessing your cultural and operational fit
AI Engineer with a strong background in Data Science and Machine Learning, specializing in Generative AI, LLMs, and RAG Pipelines. Experienced in developing and deploying AI-driven solutions, from zero-shot voice cloning to financial forecasting, utilizing Python, PyTorch, and cloud platforms like AWS. Proven ability to build scalable data pipelines, optimize performance, and create interactive dashboards for diverse applications.
Ghulam Ishaq Khan Institute of Engineering Sciences and Technology
Bachelor of Science · Data Science
September 1, 2022 – May 1, 2026
BIOMISA Lab
Research Assistant - Data Analytics
July 1, 2025 – September 1, 2025
Islamabad, Islamabad Capital Territory, Pakistan
ITSOLERA PVT LTD
Machine Learning Intern (Social Data Analysis)
June 1, 2024 – August 1, 2024
India
Pakistan Stock Analysis & Forecasting (FinGPT)
January 1, 2025 – June 1, 2026
Engineered a PyTorch and FinGPT forecasting engine utilizing LSTMs for sentiment-driven PSX analysis. Processed 5 years of high-frequency stock data using Kafka pipelines, improving model accuracy by 15%. Developed an interactive React and FastAPI dashboard to visualize live market volatility and sentiment.
SpeechEcho: Zero-Shot Voice Cloning
January 1, 2025 – May 1, 2026
Architected a zero-shot TTS system via Chatterbox (open-source engine) to clone voices from 3-second prompts. Integrated VQ-VAE for acoustic tokenization and developed a responsive frontend using Next.js and Tailwind. Deployed Dockerized FastAPI endpoints on AWS EC2 to serve concurrent synthesis requests with 99.9% uptime.
Research Paper Companion (High-Performance RAG)
January 1, 2025 – June 1, 2026
Built a high-precision RAG pipeline for academic queries integrating Node.js and Sentence-BERT. Engineered a scalable FAISS database enabling low-latency semantic search across 10k+ text chunks. Optimized advanced retrieval parameters for Llama-3, maximizing contextual relevance and accuracy.
Multimodal Agentic Media Pipeline
January 1, 2025 – June 1, 2026
Orchestrated a stateful agentic workflow using LangGraph, Whisper, and Gemini 1.5 for semantic extraction. Engineered a Flask-based serverless pipeline processing 50+ hours daily, cutting localization costs by 90%. Implemented Multimodal RAG to ground outputs in source audio, eliminating hallucinations.
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from academic research to personal initiatives in finance and media, demonstrates a broad interest in applying AI across different domains. Their involvement in social impact and leadership roles indicates a proactive and community-oriented individual, suggesting a good cultural fit for organizations valuing innovation and social responsibility. The breadth of skills and technologies used also points to adaptability and a continuous learning mindset.
Soft Skills & Operational Fit
The candidate's project descriptions indicate strong problem-solving skills, an ability to work with complex systems, and a results-oriented approach (e.g., cutting localization costs by 90%, improving model accuracy by 15%). Their involvement in social impact initiatives suggests leadership potential and a collaborative mindset, which are valuable for operational fit.