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Jitesh Kumar S

Junior Machine Learning Engineer specializing in NLP, computer vision, and MLOps

Lafayette, INMachine Learning Engineer3 years experienceJuniorTechnologyArtificial IntelligenceEducation
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About

ML/LLM engineer with Meta experience building production AI systems for near real-time user-report classification and summarization under strict latency (<250ms), safety, cost, and privacy constraints. Has hands-on MLOps/orchestration experience (Airflow, Spark, MLflow, Kubernetes, Docker, GitHub Actions) plus observability (Prometheus/Grafana) and applies rigorous evaluation, staged rollouts, and A/B testing to keep agent workflows reliable in production.

Experience

Machine Learning EngineerYaarcubes
Research AssistantVellore Institute of Technology

Education

University of Maryland, College Parkmaster, Cyber Security (2025)
Sri Venkateswara College of Engineeringbachelor, Computer Science (2022)

Key Strengths

  • Built and deployed near real-time LLM system for user report classification/summarization with <250ms latency target
  • End-to-end pipeline redesign using Airflow + Spark + MLflow to improve feature freshness and reduce latency (~600ms to ~250ms)
  • Strong production reliability mindset: KPIs, guardrails, timeouts, fallbacks, multi-level testing, monitoring/alerts, rollback readiness
  • Data-driven iteration on model/prompt choices balancing quality vs latency/cost; executed side-by-side comparisons and gradual rollouts with feature flags
  • Cross-functional collaboration with non-technical stakeholders by translating goals into measurable metrics, prototypes, and dashboards

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Languages

English

Skills

PythonSQLBashShell ScriptingJavaC++HTMLCSSMachine LearningDeep LearningPredictive ModelingRecommendation SystemsNatural Language Processing (NLP)Sentiment AnalysisText Classification