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I am an AI/ML engineer and data scientist who ships end-to-end LLM/RAG products—handling data prep and modeling in Python (PyTorch, scikit-learn) and delivering via FastAPI, Docker, and CI/CD. I thrive on experimentation and analytics (A/B testing, cohort analysis) to turn ambiguity into measurable outcomes. I’ve built production-grade ML systems and led teams across startups and remote engagements, from real-time content discovery and multi-agent ranking to scalable cloud pipelines on AWS and GCP. I enjoy turning client feedback into iterative model updates, optimizing for accuracy, reliability, and cost efficiency.…I am an AI/ML engineer and data scientist who ships end-to-end LLM/RAG products—handling data prep and modeling in Python (PyTorch, scikit-learn) and delivering via FastAPI, Docker, and CI/CD. I thrive on experimentation and analytics (A/B testing, cohort analysis) to turn ambiguity into measurable outcomes. I’ve built production-grade ML systems and led teams across startups and remote engagements, from real-time content discovery and multi-agent ranking to scalable cloud pipelines on AWS and GCP. I enjoy turning client feedback into iterative model updates, optimizing for accuracy, reliability, and cost efficiency.

Rohan Sood

AI Engineer, Data Scientist, Back-End Developer, +1

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I am an AI/ML engineer and data scientist who ships end-to-end LLM/RAG products—handling data prep and modeling in Python (PyTorch, scikit-learn) and delivering via FastAPI, Docker, and CI/CD. I thrive on experimentation and analytics (A/B testing, cohort analysis) to turn ambiguity into measurable outcomes. I’ve built production-grade ML systems and led teams across startups and remote engagements, from real-time content discovery and multi-agent ranking to scalable cloud pipelines on AWS and GCP. I enjoy turning client feedback into iterative model updates, optimizing for accuracy, reliability, and cost efficiency.…I am an AI/ML engineer and data scientist who ships end-to-end LLM/RAG products—handling data prep and modeling in Python (PyTorch, scikit-learn) and delivering via FastAPI, Docker, and CI/CD. I thrive on experimentation and analytics (A/B testing, cohort analysis) to turn ambiguity into measurable outcomes. I’ve built production-grade ML systems and led teams across startups and remote engagements, from real-time content discovery and multi-agent ranking to scalable cloud pipelines on AWS and GCP. I enjoy turning client feedback into iterative model updates, optimizing for accuracy, reliability, and cost efficiency.

Available to hire

I am an AI/ML engineer and data scientist who ships end-to-end LLM/RAG products—handling data prep and modeling in Python (PyTorch, scikit-learn) and delivering via FastAPI, Docker, and CI/CD. I thrive on experimentation and analytics (A/B testing, cohort analysis) to turn ambiguity into measurable outcomes.

I’ve built production-grade ML systems and led teams across startups and remote engagements, from real-time content discovery and multi-agent ranking to scalable cloud pipelines on AWS and GCP. I enjoy turning client feedback into iterative model updates, optimizing for accuracy, reliability, and cost efficiency.

Skills

Experience Level

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Work Experience

AI Engineer at Digit88

August 1, 2025 - Present

Architected a multi-agent ranking system that improved labeled multi-class classification accuracy from 13% to 52%. Expanded content discovery by 60% and improved crawl precision via multi-intent query generation, domain weighting, and de-duplication. Reduced infrastructure cost by 15% through caching/batching and right-sizing compute for real-time pipelines. Productionized the system with FastAPI, Docker, and CI/CD; led client reviews and translated feedback into iterative model updates.

Machine Learning Engineering Intern at Vosyn

July 1, 2025 - October 15, 2025

Implemented a PSOLA-based, silence-aware realignment module for auto-dubbing, improving multilingual fluency/prosody (+200 bps) and stabilizing long-utterance timing. Containerized the realignment service (FastAPI) and deployed on Google Cloud Run as a stateless, autoscaling pipeline stage. Led a team of 4 interns, conducting daily scrums, code reviews, and managing sprint planning and review sessions to ensure timely and high-quality deliverables.

SRE and Automation Intern at GridX

August 1, 2024 - October 15, 2025

Built a Python-based Slack bot on AWS EKS, using AWS Lex and Lambda to automate Jira ticket creation and access provisioning. Reduced DevOps ticket workload by 80%. Engineered CI/CD pipelines using Docker for containerization and Jenkins for automated builds, pushing images to AWS ECR. Scheduled RDS clusters via tag-driven Jenkins jobs, reducing idle-hour spend by 10%.

Product Analyst at Playsimple Games

December 1, 2022 - October 15, 2025

Shipped real-time product-health alerts by instrumenting an Isolation-Forest detector integrated with on-call workflows. Ran user studies and A/B experiments; resulting features lifted retention 15% and IAP 40%. Developed and maintained data dashboards for the leadership team, reducing data retrieval time by 20% and Root Cause Analysis time by 25%.