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Machine Learning Engineer with 3+ years in AI systems & LLM-powered applications
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Machine Learning Engineer with 3 years of experience taking AI systems from research to production across NLP, Computer Vision, and Generative AI. Specialize in building and deploying LLM-powered applications—RAG pipelines, real-time inference, and conversational agents—using FastAPI, Django, and modern ML tooling. Strong track record of shipping reliable, scalable services that connect cutting-edge models to real-world use.
Air University
B.Sc. · Computer Engineering
August 1, 2019 – June 30, 2024
Algoryc
Machine Learning Engineer
June 1, 2024 – Present
Islamabad, Islamabad Capital Territory, Pakistan
Algoryc
Junior Machine Learning Engineer
September 1, 2023 – June 1, 2024
Islamabad, Islamabad Capital Territory, Pakistan
Algoryc
Machine Learning Intern
July 1, 2023 – September 1, 2023
Islamabad, Islamabad Capital Territory, Pakistan
ECG Classification
June 24, 2026 – Present
End-to-end ECG time-series ML pipeline from data prep to inference, deployed via a Flask API for production integration.
Automated Tennis Court Booking Bot
June 24, 2026 – Present
Selenium automation for time-based booking with logging, recovery, and timezone-handling reliability features.
Attendance Dashboard
June 24, 2026 – Present
Full-stack attendance system with scalable backend, database schema, and UI, delivered to production with DevOps workflows.
Atlasedit
June 24, 2026 – Present
Real-time backend with WebSockets and DB integration, featuring LLM prompt pipelines and a context-preserving content separation architecture.
Oromis
June 24, 2026 – Present
Automated topic-to-audio podcast generation platform with fast pipelines for high-quality, on-demand content.
ProgressAI
June 24, 2026 – Present
Real-time AI tutoring system with multilingual STT, TTS, and translation, built on scalable backends and WebSocket session flows.
OpenHome
June 24, 2026 – Present
Smart-speaker AI platform integrating STT, TTS, diarization, and translation; led R&D, prompt engineering, and production hardening.
Soulink
June 24, 2026 – Present
GDPR/HIPAA-compliant AI wellness platform with RAG memory and voice synthesis, built on FastAPI, Next.js, GPT, and ElevenLabs.
Single Image to 3D
June 24, 2026 – Present
Evaluated multiple 3D generation models for mesh quality and architecture; ran feasibility analysis for production readiness in fashion use cases.
Document Intelligence Platform
June 24, 2026 – Present
RAG document assistant querying PDFs, contracts, and reports with citation-aware retrieval and summarization, built on LangChain, FAISS, and OpenAI embeddings.
Facial Recognition Attendance System (FYP)
June 24, 2026 – Present
Facial recognition pipeline using VGG16, MTCNN, and FaceNet embeddings, with dataset creation, inference, and unknown-face detection.
AI Traffic Monitoring & Vehicle Analytics
June 24, 2026 – Present
Real-time surveillance platform using YOLOv8, object tracking, and OCR for helmet/seatbelt violation detection, over-speeding analysis, vehicle counting, traffic density, and ANPR, with FastAPI backends for logging and automated fine generation.
MusicGen Fine-Tuned Model
June 24, 2026 – Present
Fine-tuned Meta MusicGen on a private dataset for style-controlled, genre-specific generation via a prompt- and melody-driven pipeline.
Sales Chatbot (Inbound)
June 24, 2026 – Present
Private-data conversational assistant with semantic retrieval via Pinecone and a spoken Q&A voice interface.
Fitness Chatbot
June 24, 2026 – Present
Fine-tuned GPT-3.5, Llama2, and Mistral for AI fitness coaching, optimizing prompts and workflows for accurate, low-resource conversational guidance.
AI Customer Support Agent
June 24, 2026 – Present
Voice-enabled support assistant integrating STT, TTS, RAG, and function calling for real-time conversation with knowledge-base retrieval and automated ticket creation.
RAG E-commerce Chatbot
June 24, 2026 – Present
Conversational system combining vector indexing, SQL execution, and analytics generation, using prompt controls to ensure factual correctness.
Advanced Learning Algorithms
DeepLearning.AI
May 1, 2024 – Present
Supervised Machine Learning: Regression and Classification
DeepLearning.AI
April 1, 2024 – Present
Generative AI with Large Language Models
DeepLearning.AI
December 1, 2023 – Present
AI for Everyone
DeepLearning.AI
October 1, 2022 – Present
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit for a dynamic, innovation-driven environment, particularly one focused on cutting-edge AI. Their extensive personal projects highlight a passion for machine learning beyond formal employment, indicating self-motivation and continuous learning. The progression from intern to Machine Learning Engineer at Algoryc, coupled with a wide array of projects spanning Generative AI, Computer Vision, and NLP, shows versatility and a broad skill set. The focus on shipping production-ready systems and leading R&D aligns well with roles requiring both technical depth and practical application. The certifications from DeepLearning.AI further underscore a commitment to staying current with industry advancements.
Soft Skills & Operational Fit
The candidate's resume indicates strong operational fit through their experience in leading R&D and production hardening, suggesting an ability to take ownership and drive projects from prototype to deployment. Their work on real-time systems and deployment workflows implies a focus on reliability and efficiency. The breadth of projects also suggests adaptability and a proactive approach to learning and applying new technologies. However, without specific behavioral assessment data, a deeper analysis of soft skills like teamwork, problem-solving under pressure, or communication style in a collaborative setting is limited.