Taha Qureshi

Machine Learning Engineer | AI Agents | NLP & LLM Architect | RAG & Fine-Tuning Expert

Role
Senior Ai & Ml Engineer at TEKHQS
Location
Hoboken, NJ, US
LinkedIn followers
500 followers
Information TechnologyView LinkedIn profile

About Taha Qureshi

Machine Learning Engineer with 6+ years of experience building end-to-end AI systems…

Experience

  1. Senior Ai & Ml Engineer

    TEKHQS

    Jun 2023 — Present

    Project: Indeed – Senior ML Engineer (NLP & LLM Specialization)- Built an NLP pipeline (spaCy NER, regex) to extract 15k+ skills/roles from millions of resumes & job postings, boosting semantic search relevance- Integrated Dialogflow CX + LangChain RAG (FAISS/Milvus) for context-aware Q&A and real-time log/alert correlation- Designed a hybrid retrieval pipeline (FAISS + Pinecone/Weaviate/Milvus), improving latency & search accuracy- Fine-tuned LLaMA-70B & Mistral-8x7B with LoRA/PEFT; applied prompt engineering for structured JSON responses- Implemented cross-encoder re-ranking in Milvus, improving precision/recall by 27% and reducing misclassification errors.Project: LoadStop – Senior AI/ML Engineer- Built a real-time agentic chatbot (Voice + Text) using LiveKit (STT→LLM→TTS), planner–executor loops, and memory- Developed NLP pipelines (NER, RAG) with Pinecone/Milvus to retrieve TMS policies dynamically- Deployed RASA dialogue management + MongoDB logging for multi-turn context, lowering fallback rates- Added structured logging, observability dashboards & p95 latency monitoring into FastAPI/Flask + Spring Boot microservices.Project: Meijer – ML Engineer (Predictive Analytics & Inventory Automation)- Applied SMOTE + XGBoost + AutoML to detect 15k+ phantom SKUs weekly, improving recall on imbalanced data- Engineered 30+ Spark/SQL features and optimized Delta Lake ingestion with indexing/partitioning for faster analytics- Automated retraining in MLflow + Databricks, containerized with Docker, and deployed to Kubernetes with weekly audits/A/B tests- Built REST APIs for real-time anomaly detection in SKU inventory, enabling immediate store-level response.

Education

  • Boston University

    Masters of Applied Business Analytics

  • University Of Central Punjab

    Bachelor of Engineering - BE, Electrical and Electronics Engineering

    2016 — 2020

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Taha Qureshi — Senior Ai & Ml Engineer at TEKHQS in Hoboken, NJ, US | Unifers