Akbar Shaik
Applied Ai Engineer @Teledyne Technologies Incorporated
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WORK HISTORY
Applied Ai Engineer @Teledyne Technologies Incorporated
Built a document-grounded virtual assistant using GPT-4, LangChain, FAISS, and Sentence-BERTAutomated 60% of Tier-1 queries and reduced response latency by 42%Deployed FastAPI-based APIs on AWS Lambda using Docker with full logging in MongoDB and S3Implemented fallback classifier (SVM), prompt engineering, PII masking, and OpenAI moderationLogged all inference for auditing and retraining; achieved >90% CSAT and 88% retrieval accuracy
EDUCATION
University of North Texas
Master's degree, Data Science
Lakireddy Bali Reddy College of Engineering(Autonomous)
Bachelor's degree
ABOUT AKBAR SHAIK
I’m an AI/ML Engineer with 4+ years of experience building scalable, production-grade machine learning systems with a strong focus on LLMs, MLOps, and responsible AI.At Teledyne Technologies, I led the development of a RAG-based virtual assistant using GPT-4, LangChain, and FAISS—automating 60% of Tier-1 insurance queries and improving CSAT beyond 90%. I’ve deployed secure, low-latency ML APIs using FastAPI, Docker, and AWS Lambda, and built guardrails like fallback classifiers, PII masking, and OpenAI moderation for compliance.I’ve also designed centralized MLOps platforms with MLflow, Airflow, and GitHub Actions at Creative Newtech, reducing model failures by 70% and passing multiple audits.I\'m passionate about building AI systems that are reliable, explainable, and ethically governed. Let’s connect if you’re working at the intersection of LLMs, DevOps, and scalable AI deployment!
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