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xtra work

@xtrawork

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Senior AI engineer specializing in production ML, LLM systems, and recommender platforms.

India

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What I'm looking for

I seek roles building production ML/LLM systems in product-focused teams, with ownership of model design, deployment, and measurable user impact.

I am a Senior AI Engineer with deep experience building production-grade ML systems, LLM pipelines, and recommender platforms for high-concurrency consumer products. I design modular multi-agent LLM architectures, deterministic evaluation frameworks, and scalable MLOps to deliver reliable, insight-driven applications.

At Info Edge I led ML for an Ed-Tech vertical, productionized neural learning-to-rank models, deployed RAG-based personalized chatbots, and built recommender systems that meaningfully increased CTR and conversions. I have improved model performance and user engagement through transformer-based solutions, localization (Hinglish) tools, and predictive modelling.

I also bring startup and research experience across healthcare imaging and adversarially robust vision, with a record of publications and hands-on MLOps using Docker, Kubernetes, MLflow, and in-house serving stacks to achieve high uptime and reduced latency.

Experience

Work history, roles, and key accomplishments

Current

Senior AI Engineer

Current

Knit

Jun 2025 - Present (4 months)

Built a modular multi-agent LLM pipeline to automate research workflows from raw survey ingestion to insight-rich memos with tables, summaries, and visualizations; engineered a hierarchical Judge LLM framework to evaluate and ensure factual accuracy and qualitative consistency of AI-generated reports.

LLMs RAG Prompt Engineering Python Data Visualization MLOps LLM

Team Lead (Data Science)

Info Edge

Jul 2020 - May 2025 (4 years 10 months)

Led ML for the Shiksha ed-tech vertical, productionized transformer-based learning-to-rank and deployed RAG LLM chatbot, improving search NDCG/CTR and achieving >85% positive user feedback for the personalized counseling bot; delivered recommender systems that boosted CTRs by 25% and improved lead conversion 12x for study abroad.

Transformers Recommender Systems Embeddings PEFT)VLLM Kubernetes Docker MLFlow Python

Engineering Intern

Niramai

Feb 2020 - May 2020 (3 months)

Improved breast-cancer detection sensitivity from 90% to 92% using novel CNN variants for depth estimation and built core data pipelines and feature engineering that supported clinical-grade performance.

CNN Deep Learning Data Pipelines Python Computer Vision Model Evaluation

Engineering Intern

Bioretics

Nov 2018 - Jun 2019 (7 months)

Implemented an active learning framework for image segmentation using FCNs, achieving target performance with 53% labeled data and halving annotation costs.

Active Learning Segmentation Python Annotation Efficiency Computer Vision

Visiting Researcher

Ecole Polytechnique

Jan 2019 - May 2019 (4 months)

Analyzed similarities between mouse auditory pathways and CRNN audio processing via convolutional filter visualization, producing novel research recognized with top university grade.

Audio Processing Research Python Deep Learning

Visiting Researcher

CNRS

May 2018 - Aug 2018 (3 months)

Developed methods to improve robustness of convolutional neural networks against adversarial attacks by infusing semantic knowledge, increasing robustness by 20% and leading to a conference publication.

Research Python Deep Learning