Headline

Member of Technical Staff (MTS) @ Salesforce (via Informatica Acquisition) | AI/ML & Backend Platform Engineer | Java, LLMs, Embeddings | Ex-Walmart

About

Machine Learning & Backend Engineer with strong expertise in building and deploying AI/LLM-powered systems, specializing in scalable backend infrastructure and generative AI platform services. At Salesforce (via Informatica Acquisition), I build and scale AI-driven platform features—including an end-to-end Glossary Recommendation service powered by fine-tuned small LLMs and an Unstructured Data Classification engine using custom embedding models. I specialize in bridging high-performance Java backend microservices with modern machine learning pipelines, optimizing API throughput, pre/post-processing workflows, and model inference latency. Previously at Walmart, I engineered real-time data validation and batch ingestion pipelines using Apache Spark and Kafka, dramatically improving anomaly detection and processing speed. I hold an M.Tech in Data Science from IIIT Bangalore and am passionate about building production-grade, scalable AI systems.

Location

Bengaluru

AI stack

claude code

codex

lovable

ollama

Work experience

Member of Technical Staff at Salesforce, Mar 2026 - Present · 7 mos, Bengaluru, • Transitioned to Salesforce following the acquisition of Informatica, continuing to bridge backend platform architecture with machine learning capabilities. • Engineered scalable Java microservices and pipelines to enable and serve fine-tuned AI/ML models across enterprise data workflows. • Built an end-to-end Glossary Recommendation service by fine-tuning small LLMs, developing custom pre/post-processing pipelines, and exposing high-throughput Java APIs. • Developed an Unstructured Data Classification platform by fine-tuning custom embedding models, conducting PoCs, and building Java backend execution jobs.

Senior Software Engineer at Informatica, Apr 2025 - Feb 2026 · 11 mos, Bengaluru, • Built an LLM-powered glossary generation service for structured/ semi-structured data. • Fine-tuned models using LoRA and PEFT and deployed them with containerized CI/CD pipelines. • Developed LLM-as-a-judge evaluation pipelines for benchmarking. • Created feature extraction utilities for Apache Iceberg (reduced debugging time by 40%). • Automated data ingestion test workflows, reducing QA cycle time by 70%. • Designed scalable backend APIs optimized for throughput and latency.

Software Engineer at Informatica, Aug 2022 - Apr 2025 · 2 yrs 9 mos, Bengaluru, Karnataka, India

Software Engineer 2 at Walmart Global Tech India, Jul 2021 - Jul 2022 · 1 yr 1 mo, Bengaluru, Karnataka, India · Hybrid, • Built a Python-based data validation tool; cut anomaly detection time from 24 hours to 15 minutes. • Developed real-time and batch pipelines using Apache Spark and Kafka. • Followed Agile practices and collaborated via Git and GitHub.

Software Engineer Intern at Walmart Global Tech India, Jan 2021 - Jun 2021 · 6 mos, Bengaluru, Karnataka, India · Hybrid, • Delivered a POC real-time data pipeline (Kafka → BigQuery), later adopted into production. • Improved data ingestion efficiency by 45% over existing processes.

Education

Master of Technology - MTech, Computer Science, International Institute of Information Technology Bangalore

Bachelor of Engineering - BE, Computer Science, Lakshmi Narain College of Technology & Science, Kalchuri Nagar, Raisen Road, Bhopal-462021