I’m Ashutosh Shukla, an AI Engineer and Software Developer with a passion for building intelligent, scalable technology that helps people interact with data and digital products. I’ve delivered AI, NLP, and full-stack solutions, designing LLM and RAG systems that boosted data accuracy by 35%, search relevance by 25%, and cut manual effort by 40%, while also engineering backend platforms supporting 1M+ daily users with 30% performance gains. I enjoy turning complex problems into clean, efficient solutions—whether it’s optimizing ML pipelines, improving application reliability, or collaborating with cross-functional teams to ship impactful features. My goal is to build technology that is fast, reliable, and truly helpful to the people who use it.

Ashutosh Shukla

I’m Ashutosh Shukla, an AI Engineer and Software Developer with a passion for building intelligent, scalable technology that helps people interact with data and digital products. I’ve delivered AI, NLP, and full-stack solutions, designing LLM and RAG systems that boosted data accuracy by 35%, search relevance by 25%, and cut manual effort by 40%, while also engineering backend platforms supporting 1M+ daily users with 30% performance gains. I enjoy turning complex problems into clean, efficient solutions—whether it’s optimizing ML pipelines, improving application reliability, or collaborating with cross-functional teams to ship impactful features. My goal is to build technology that is fast, reliable, and truly helpful to the people who use it.

Available to hire

I’m Ashutosh Shukla, an AI Engineer and Software Developer with a passion for building intelligent, scalable technology that helps people interact with data and digital products.

I’ve delivered AI, NLP, and full-stack solutions, designing LLM and RAG systems that boosted data accuracy by 35%, search relevance by 25%, and cut manual effort by 40%, while also engineering backend platforms supporting 1M+ daily users with 30% performance gains. I enjoy turning complex problems into clean, efficient solutions—whether it’s optimizing ML pipelines, improving application reliability, or collaborating with cross-functional teams to ship impactful features. My goal is to build technology that is fast, reliable, and truly helpful to the people who use it.

See more

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
See more

Work Experience

AI Engineer at Alation
April 1, 2025 - Present
Developed and optimized AI-powered metadata extraction pipelines, improving automated data classification accuracy by ~35% across enterprise datasets. Built NLP models using Python, Transformers, and LLM frameworks to enhance Alation’s search relevance and query recommendations, increasing user retrieval efficiency by 25%. Implemented ML-based data quality scoring and anomaly detection workflows, helping reduce mis-tagged assets by 30% and improving governance reporting accuracy. Designed and deployed Retrieval-Augmented Generation components integrated with Alation’s Data Catalog, enabling faster insights generation and reducing manual documentation time by 40%. Collaborated with cross-functional teams to optimize AI inference pipelines, improving model latency by 20–30% across cloud environments (AWS/GCP). Created reusable ML microservices and APIs for metadata enrichment and lineage prediction, supporting 5+ internal product features and reducing engineering effort by 15%. Con
Software Developer at Jio Platforms Limited
November 1, 2020 - July 1, 2023
Developed and maintained high-traffic web and backend applications supporting 1M+ daily users, improving overall system stability and performance by 30%. Built and optimized RESTful APIs and microservices using JavaScript, Node.js, and Express.js, reducing API latency by 25% and enhancing request throughput. Improved database performance by implementing optimized SQL queries and indexing strategies, decreasing data processing time by 40% across major workflows. Collaborated with product, QA, and DevOps teams to deliver 20+ feature enhancements, shortening release cycles by 15% through Agile/Scrum practices. Integrated automated testing frameworks and CI/CD pipelines, reducing production defects by 35% and increasing deployment frequency. Contributed to the migration of legacy systems to modern, scalable architectures, lowering technical debt by 20% and improving maintainability. Provided L2/L3 production support for live applications, resolving critical issues within SLA and improving

Education

Master of Science in Information Systems at State University of New York at Binghamton
January 11, 2030 - May 1, 2025
Bachelor of Engineering in Information Technology at University of Mumbai
January 11, 2030 - October 1, 2020

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Professional Services, Computers & Electronics