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ML & Data Systems Engineer
ML & Data Systems Engineer at ZYTE developing production ML models and automated data pipelines across AWS, GCP, and Elasticsearch.
PakistanML & Data Systems Engineer at ZYTE
Developed and maintained production ML models for entity extraction, text classification, and deduplication across large-scale multi-domain datasets. Automated ETL pipelines integrating AWS, GCP, and Elasticsearch, and led a small team of engineers.
Machine LearningETLAWSGCPElasticsearchPythonData EngineeringTeam Leadership
Built production-grade RAG pipelines integrating Gemini, Claude, and OpenAI with Pinecone vector search. Fine-tuned LLM-based chatbots and deployed multi-agent AI systems with FastAPI, Google Cloud Run, and GitHub Actions.
RAGLLMfastAPIPineconeCrew AIGoogle Cloud RunGitHub ActionsLang ChainLangsmithWebSocketsNLUIntent ClassificationEntity ExtractionResume ParsingDocument QAMultimodal Analysis
Built NLP models in Python for phishing-content prediction using TF-IDF and Random Forest. Implemented FastAPI, Docker, Pydantic, and PostgreSQL interfaces around ML models, and contributed to automated training/testing pipelines.
PythonNLPTF IDFRandom ForestfastAPIDockerPydanticPostgreSQLFeature EngineeringModel EvaluationYOLO V5Computer Vision
Developed Siamese-network, CLIP Transformer, and Vision Transformer approaches for visual re-identification. Implemented OpenCV and image-processing techniques for sports performance analysis and built a real-time sports analytics system.
Computer VisionSiamese NetworksCLIPVision TransformerOpenCVYOLOInceptionV2Object DetectionPose EstimationSports Analytics
Profile sourced from Himalayas.