Full Stack AI Engineer | Computer Vision & NLP Specialist
π Top Rated Freelancer | 100% Job Success
π§ 3+ years building and deploying scalable AI/ML systems
π Open to freelance, full-time remote, and consulting roles
I build reliable, production-ready AI systems:
- π Retrieval-Augmented Generation (RAG) using LangChain, LlamaIndex, pgvector
- π― Vision Systems (YOLOv8, 3D pose estimation, aerial detection, stereo vision)
- π£οΈ LLM-based NLP (Flan-T5, LLaMA, GPT fine-tuning, entity extraction, email classification)
- βοΈ Automated ML Workflows (Vertex AI pipelines, BigQuery, Terraform, CI/CD with Cloud Build & GitHub Actions)
- π§ Backend AI Services (Django, scalable APIs, real-time inference servers)
NASTP β June 2025 β Present
- Building high-performance, real-time computer vision applications using Nvidia DeepStream & GStreamer
- Orchestrating real-time computer vision workloads using Docker Swarm
- Building a video analytics dashboard with multiprocessing for precision control over RTSP streams
- Training and deploying state-of-the-art YOLO models for real-time object detection and tracking
- Built a dashboard for managing camera input streams, model selection and observing compute usage
- Lead architect in building and deploying a facial recognition access control system with Nvidia Triton Inference Server, FastAPI interface and Milvus DB for search and retrieval
Ivedha Inc β April 2022 β March 2025
- Leveraged cloud technologies to forecast and optimize cloud costs using system-level metrics
- Designed and developed scalable backend systems using microservices architectures
- Leveraged large language models for implementing RAG systems for user-specific knowledge bases and requirements
- Designed and developed intricate data models for storage and accession of complex data via concurrent API calls
- Deployed well-orchestrated solutions optimized for on-prem and cloud services
- Collaborated on the development of a global outage monitoring system for banking services
- Built a document retrieval, processing and ingestion pipeline to client storage using llama-index for RAG and Postgres for staging
- Developed and deployed an information retrieval system using llama-index, using Postgres' pgvector for storing vector indices to build a Q/A chatbot, leveraging a Docker Compose stack for deployment
QLU.ai β March 2024 β June 2024
- Used state-of-the-art ResNet-152 ImageNet-pretrained models for ethnicity classification of profile images
- Designed and developed a highly-performing semantic search solution for extracting relevant information from large corpora of text
- Designed and developed a profile-ranking mechanism for executive profiles using natural language processing and statistical methods
- Oversaw deployment of existing as well as newly-incorporated AI systems on both on-prem and cloud infrastructure
- Analyzed systems using evaluation metrics such as AUC, Precision and Recall for better results
- Delivered RAG pipelines, LLM APIs, vision-based trackers & smart inference services
- Built secure microservices, dockerized deployments, GPU-based inference APIs
- Successful contracts with consistent 5β reviews
zone-mapper: DBSCAN + Markov transition matrix to forecast delivery zonesllama-index-rag: Vector-based RAG chatbot using Postgres + pgvectorksa-plate-detector: DETR fine-tuning and edge deployment for plate recognitionsemantic-search-api: Embedding-based semantic search using huggingface & Faissstereo-vision-pose: YOLOv11 for stereo-based 3D pose estimation on Basler + Jetson AGXdocument-parser: Document ingestion, parsing & NER with LangChain + OpenAI toolsreal-estate-chatbot: Django + LLM backend for intelligent property reportsserver-cable-inference: YOLOv8 + keypoint regression for direction/sag detectioncloud-optimizer-ui: Streamlit UI for AWS cost forecasting using kernel regressionvegetation-mapper: Drone imagery β GeoJSON vegetation mapping via ONNX inference
| Category | Tools & Frameworks |
|---|---|
| ML / DL | PyTorch, TensorFlow, Scikit-learn, Hugging Face |
| Computer Vision | YOLOv8, OpenCV, DeepSORT, DETR, stereo vision |
| NLP / LLM | LangChain, Flan-T5, LLaMA, GPT, Transformers |
| Backend APIs | FastAPI, Django, Flask, Streamlit |
| Deployment | Docker, Kubernetes, BentoML, ECS, CodeBuild, Terraform, Vertex AI, Cloud Build, GitHub Actions |
| Databases | Postgres, pgvector, MongoDB, Elasticsearch |
| Cloud | AWS (SageMaker, ECS, CodeBuild), GCP (Vertex AI, BigQuery, Cloud Storage, Dataflow, IAM, Dataplex), Azure (Virtual Machines, Blob Storage, AzureML) |
| Tools & Infra | Git, NGINX, Bash, Shell, CI/CD pipelines |
| Dev Math | Calculus, Linear Algebra, Probability, Stats |
- MS Data Science β FAST Islamabad (2025)
- BS Computer Science β COMSATS Islamabad (2022)
- TensorFlow Developer Certificate
- AWS Cloud Technical Essentials
- Data Visualization with Python


