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Laxman Singh Tomar

@laxmansinghtomar

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Senior ML/NLP engineer building scalable production AI/LLM systems that reduce costs and automate complex workflows.

India

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What I'm looking for

I seek a role building production ML/NLP systems with strong engineering practices, reproducible evaluation, scalable infra, and real-world impact.

I am a senior machine learning and NLP engineer focused on building scalable, production-grade AI/LLM systems that automate complex workflows and cut operational costs.

At Jiffy.com, I built multi-modal interactive agents and automated prompt-optimization pipelines that matched high-end baselines while reducing costs 9.4x and improving throughput to 40k+ requests/day.

Previously, I integrated LLMs into enterprise RAG systems, designed QA generation and evaluation pipelines, and delivered content moderation engines serving hundreds of clients; I also modeled cybersecurity anomaly detection systems early in my career.

I emphasize reproducible evaluation, real-time monitoring and escalation, and safe, low-latency deployments—combining engineering rigor with practical ML to drive measurable business impact.

Experience

Work history, roles, and key accomplishments

Current

Senior ML/AI Engineer

Current

Jiffy.com

Aug 2023 - Present (2 years 10 months)

Built multi-modal interactive claims agent automating 2k+ repairs/day and developed prompt optimisation and evaluation pipelines that cut costs 9.4x while doubling throughput; implemented real-time Zendesk auditor and LLM-driven moderation pipeline achieving 98.1% precision and sub-1s latency.

Prompt Engineering Vectorization Cost Optimization Real Time Systems Zendesk

Senior NLP Engineer

Emplay Inc.

Jan 2022 - Aug 2023 (1 year 7 months)

Integrated GPT-3/ChatGPT into enterprise RAG systems and built a T5/Roberta QA generation pipeline over 1M documents served via REST APIs; designed automated QA evaluation and delivered a Mini-LM content moderation engine with 91% accuracy to 500 clients.

RAG GPT 3 RoBERTa Elasticsearch fastAPI Celery Onnx Model Quantization QA

ML Engineer

Albot Technologies

Aug 2020 - Jan 2022 (1 year 5 months)

Developed cybersecurity anomaly detection systems using Random Forests, XGBoost and CNNs to detect threats and improve detection robustness across telemetry sources.

Anomaly Detection Random Forest XGBoost CNN Model Evaluation Python Data Pipelines

Education

Degrees, certifications, and relevant coursework

Dr. A.P.J. Abdul Kalam Technical University

Bachelor of Technology, Computer Science

2016 - 2020

Bachelor of Technology in Computer Science covering Machine Learning, Artificial Intelligence, Applied Linear Algebra, Data Structures and Algorithms.