I seek roles building production ML/LLM systems in product-focused teams, with ownership of model design, deployment, and measurable user impact.
xtra work
@xtrawork
Senior AI engineer specializing in production ML, LLM systems, and recommender platforms.
What I'm looking for
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
Senior AI Engineer
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.
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.
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.
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.
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.
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.
Education
Degrees, certifications, and relevant coursework
Plaksha University
Post Graduate Programme in Machine Learning, Machine Learning
2019 - 2020
Completed the Post Graduate Programme in Machine Learning as a Plaksha Fellow from August 2019 to July 2020.
Manipal University
Bachelor of Technology, Computer Science Engineering
2015 - 2019
Earned a Bachelor of Technology in Computer Science Engineering from August 2015 to July 2019.
Availability
Location
Authorized to work in
Salary expectations
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