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Likith Kumar Tarala

Mid-level Machine Learning Engineer specializing in deep learning and generative AI

MetLifeUniversity of Alabama at BirminghamSan Jose, CA5 Years ExperienceMid LevelWorks On-Site

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About

AI/ML engineer who has deployed transformer-based NLP systems to production via Python REST APIs and Kubernetes on AWS/Azure, with a strong focus on latency optimization (p95), reliability, and scalable orchestration. Demonstrates pragmatic model tradeoff decision-making and strong stakeholder collaboration—improving adoption by making outputs more actionable with summaries, extracted fields, and confidence indicators.

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Key Strengths

  • Built and deployed production NLP system for large-scale unstructured text analysis
  • Reduced inference latency via warm models, input limits, batching, and concurrency/resource tuning
  • Production reliability focus: containerized deployment, monitoring, versioning, rollback
  • Kubernetes-based deployment with scaling, health checks, and rolling updates (no downtime)
  • Metrics-driven performance optimization using p95 latency to identify and fix peak-load contention
  • Pragmatic model selection balancing accuracy, latency, and cost (chose smaller fine-tuned model for production constraints)
  • Effective collaboration with non-technical stakeholders; translated business goals into AI requirements
  • Improved product adoption by redesigning outputs (summaries, extracted fields, confidence indicators)

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Experience

Machine Learning EngineerMetLife · Jan 2025 – Present
Machine Learning EngineerHexaware Technologies · Jan 2020 – Jul 2023

Education

University of Alabama at Birminghammaster, Computer Science (2025)
Kakatiya Institute of Technology and Sciencebachelor, Computer Science (2021)

Skills

PythonRSQLMATLABTensorFlowKerasPyTorchScikit-learnPandasNumPyNLTKOpenCVMatplotlibSeabornSciPy

Languages

English

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Likith Kumar TaralaMid-level Machine Learning Engineer specializing in deep learning and generative AI