Lavesh Jaykar
AI/ML Engineer | Open to Full-Time/W2 Roles | NLP, Transformers, Scalable ML Systems
- Role
- Ai Ml Engineer at ServiceNow
- Location
- Syracuse, NY, US
- LinkedIn followers
- 500 followers
About Lavesh Jaykar
AI/ML Engineer with 4+ years of experience building scalable NLP and machine learning systems. Skilled in PyTorch, transformers, Spark, and MLOps, with a focus on deploying high-performance AI solutions in production.Currently actively seeking full-time/W2 opportunities to work on impactful AI/ML and LLM-based projects.
Experience
Ai Ml Engineer
Nov 2024 — Present · NY, US
Architected and deployed an AI-driven incident intelligence platform for ServiceNow ITSM using Python, PyTorch, and PySpark to automatically classify, prioritize, and route enterprise support tickets, reducing manual triage workload by 45% across high-volume IT operations. • Built large-scale ML data pipelines using Apache Kafka, Airflow, and Spark to ingest and process 12M+ historical incidents and 500K monthly service requests, enabling real-time feature generation for predictive incident management models. • Developed Transformer-based NLP models (BERT/Finetuned LLMs) to analyze ticket descriptions and recommend knowledge base resolutions, improving automated incident classification accuracy by 28% and reducing average resolution time by 32%. • Implemented predictive outage detection models using time-series ML techniques and gradient boosting to analyze infrastructure metrics and historical incidents, enabling early detection of critical system failures and reducing major incident occurrences by 20%. • Designed a vector-based knowledge retrieval system using Sentence Transformers and OpenSearch to match incoming incidents with similar historical cases and remediation steps, increasing first-response resolution effectiveness by 30%. • Integrated RAG-based generative AI assistants using Azure OpenAI APIs and enterprise knowledge bases to automatically summarize incident tickets and generate troubleshooting recommendations, accelerating support engineer response time by 35%. • Productionized ML models through containerized deployment on Kubernetes (EKS) with MLflow-based experiment tracking and CI/CD pipelines, ensuring scalable inference services supporting millions of monthly ITSM transactions with >99.9% availability.
Education
Syracuse University
Master of Science - MS, Computer Science
Savitribai Phule Pune University
Bachelor's degree, Computer Engineering
2019 — 2023
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