Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

AI Engineer who ships production-ready agentic AI products fast. Most recently at FounderWay, I built and deployed LLM agents and RAG workflows that automated 100+ customer calls per week, reduced manual support work by 40%, and kept p95 latency under 800ms through FastAPI services, Redis caching, and load testing. Before that, I worked at LTIMindtree (Citi Bank) building cloud data pipelines and analytics foundations, processing 100GB+ datasets with PySpark on AWS, optimizing SQL by 30%, and supporting production releases with strong monitoring and runbooks. I also have hands-on ML experience (TensorFlow/PyTorch) and have built end-to-end projects like a finance RAG assistant, a resume ranking platform, and automation workflows using AI coding tools like Cursor, Copilot, and Claude Code. What makes me stand out is judgment and execution: I translate vague requirements into working software, review and correct AI-generated code, debug from logs and stack traces, and iterate with stakeholders until the product is reliable, scalable, and usable.…AI Engineer who ships production-ready agentic AI products fast. Most recently at FounderWay, I built and deployed LLM agents and RAG workflows that automated 100+ customer calls per week, reduced manual support work by 40%, and kept p95 latency under 800ms through FastAPI services, Redis caching, and load testing. Before that, I worked at LTIMindtree (Citi Bank) building cloud data pipelines and analytics foundations, processing 100GB+ datasets with PySpark on AWS, optimizing SQL by 30%, and supporting production releases with strong monitoring and runbooks. I also have hands-on ML experience (TensorFlow/PyTorch) and have built end-to-end projects like a finance RAG assistant, a resume ranking platform, and automation workflows using AI coding tools like Cursor, Copilot, and Claude Code. What makes me stand out is judgment and execution: I translate vague requirements into working software, review and correct AI-generated code, debug from logs and stack traces, and iterate with stakeholders until the product is reliable, scalable, and usable.

Sandigaru Vikram





AI Engineer who ships production-ready agentic AI products fast. Most recently at FounderWay, I built and deployed LLM agents and RAG workflows that automated 100+ customer calls per week, reduced manual support work by 40%, and kept p95 latency under 800ms through FastAPI services, Redis caching, and load testing. Before that, I worked at LTIMindtree (Citi Bank) building cloud data pipelines and analytics foundations, processing 100GB+ datasets with PySpark on AWS, optimizing SQL by 30%, and supporting production releases with strong monitoring and runbooks. I also have hands-on ML experience (TensorFlow/PyTorch) and have built end-to-end projects like a finance RAG assistant, a resume ranking platform, and automation workflows using AI coding tools like Cursor, Copilot, and Claude Code. What makes me stand out is judgment and execution: I translate vague requirements into working software, review and correct AI-generated code, debug from logs and stack traces, and iterate with stakeholders until the product is reliable, scalable, and usable.…AI Engineer who ships production-ready agentic AI products fast. Most recently at FounderWay, I built and deployed LLM agents and RAG workflows that automated 100+ customer calls per week, reduced manual support work by 40%, and kept p95 latency under 800ms through FastAPI services, Redis caching, and load testing. Before that, I worked at LTIMindtree (Citi Bank) building cloud data pipelines and analytics foundations, processing 100GB+ datasets with PySpark on AWS, optimizing SQL by 30%, and supporting production releases with strong monitoring and runbooks. I also have hands-on ML experience (TensorFlow/PyTorch) and have built end-to-end projects like a finance RAG assistant, a resume ranking platform, and automation workflows using AI coding tools like Cursor, Copilot, and Claude Code. What makes me stand out is judgment and execution: I translate vague requirements into working software, review and correct AI-generated code, debug from logs and stack traces, and iterate with stakeholders until the product is reliable, scalable, and usable.

Available to hire

AI Engineer who ships production-ready agentic AI products fast. Most recently at FounderWay, I built and deployed LLM agents and RAG workflows that automated 100+ customer calls per week, reduced manual support work by 40%, and kept p95 latency under 800ms through FastAPI services, Redis caching, and load testing.

Before that, I worked at LTIMindtree (Citi Bank) building cloud data pipelines and analytics foundations, processing 100GB+ datasets with PySpark on AWS, optimizing SQL by 30%, and supporting production releases with strong monitoring and runbooks. I also have hands-on ML experience (TensorFlow/PyTorch) and have built end-to-end projects like a finance RAG assistant, a resume ranking platform, and automation workflows using AI coding tools like Cursor, Copilot, and Claude Code.

What makes me stand out is judgment and execution: I translate vague requirements into working software, review and correct AI-generated code, debug from logs and stack traces, and iterate with stakeholders until the product is reliable, scalable, and usable.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

AI Engineer at FounderWay

January 1, 2025 - May 1, 2025

Led production AI platform delivering end-to-end workflows from frontend UX to backend automation; reduced manual support by 40% for 100+ calls/week; implemented LangGraph workflows with LLM APIs and RAG; improved grounding with semantic retrieval using Pinecone and FAISS; cut API latency by 28% through Redis caching and optimized FastAPI endpoints; achieved p95 latency under 800ms with load testing; built monitoring and CI gates for production stability.

Data Engineer at LTIMindtree (Citi Bank)

February 1, 2022 - August 1, 2023

Processed 100GB+ datasets with scalable PySpark pipelines; tuned SQL across MySQL and Hive to improve query performance; powered 20+ PowerBI dashboards with Autosys end-to-end refresh reliability; supporting reliable production analytics.

Machine Learning Engineer at Wisda Ventures

January 1, 2021 - January 1, 2022

Automated testing pipelines, reducing model validation time by 40%; achieved stable 88% accuracy; improved training consistency through optimized preprocessing and documentation for repeatable runs.