---
title: "Rishi Ramesh - Senior AI Engineer in Bengaluru | Tal"
description: "Meet Rishi Ramesh, 👨‍🔧Building Intelligent Contract Management for Everyone @ Signeasy | Architecting Scalable AI Products | Generative AI, LLM’s, Machine Learning, NLP, MLOps based in Bengaluru. AI stack includes anthropic apis, antigravity, and claude code. Explore public work links including g..."
image: "https://tal.club/meet/rishi-ramesh/share-image"
---

# Rishi Ramesh on Tal

## Headline

👨‍🔧Building Intelligent Contract Management for Everyone @ Signeasy \| Architecting Scalable AI Products \| Generative AI, LLM’s, Machine Learning, NLP, MLOps

## About

I am a Senior AI Engineer focused on designing and deploying production\-grade AI systems that power real products at scale\. My work spans machine learning, deep learning, and modern Generative AI systems, with a strong emphasis on LLM infrastructure, retrieval systems, and agentic workflows\. I enjoy building AI platforms end to end, from data pipelines and model development to scalable deployment, evaluation frameworks, and long\-term system reliability\. In my current role I architect AI infrastructure that supports large\-scale document intelligence systems, combining vector search, structured data extraction, and LLM reasoning to solve complex information problems\. Previously, I worked as a founding AI engineer where I built real\-time Voice AI systems and RAG\-based products that went directly into production\. Across roles, I have consistently taken ownership of designing systems, translating product requirements into scalable architectures, and ensuring AI solutions remain reliable and effective in real\-world environments\. My interests lie at the intersection of machine learning systems, agentic AI, and intelligent automation\. I enjoy solving hard problems that require both strong ML fundamentals and systems thinking, and I am always excited to collaborate with teams building meaningful AI\-driven products\.

## Location

Bengaluru

## AI stack

anthropic apis

antigravity

claude code

claude

cursor

opencode

## Work experience

Senior AI Engineer at Signeasy, Oct 2025 \- Present · 11 mos, Bengaluru · Hybrid, • Responsible for end\-to\-end AI architecture, feature evolution, and production system ownership • Leading post\-beta expansion of ICM — designing and implementing advanced AI\-driven features and deeper product integrations • Scaling document intelligence capabilities to support larger repositories and higher throughput workloads • Designed and implemented a scalable prompt management platform \(Langfuse\-based\), reducing prompt/model iteration cycles by 80% • Own full AI lifecycle: architecture, deployment, monitoring, optimization, and long\-term system reliability • Partner closely with product and engineering leadership to define AI roadmap and translate business requirements into production\-grade AI systems

Software Engineer \- AI Full Stack at Signeasy, Jul 2024 \- Oct 2025 · 1 yr 4 mos, Bengaluru · Hybrid, • Built and scaled Signeasy’s foundational AI infrastructure \(LLMs, vector search, ingestion pipelines\) from the ground up • Led development and successfully delivered the Beta launch of the Intelligent Contract Management \(ICM\) platform • Designed bulk document ingestion pipelines for PDF parsing, structured extraction, and vector indexing • Implemented early\-stage semantic search combining vector retrieval and structured key\-term extraction • Developed prompt experimentation workflows and internal evaluation systems to accelerate iteration • Built and productionized an end\-to\-end fraud detection ML system \(data → training → deployment\)

NLP Engineer at Arrowhead, Feb 2023 \- Jun 2024 · 1 yr 5 mos, Bengaluru, • As one of the first engineers, took on responsibilities as the main developer for multiple critical AI products — including an Intelligent Meeting Note Taker and Call Intelligence Analyzer adopted by enterprise Account Executives for post\-call workflows • Spearheaded the development of autonomous Voice AI pipelines \(Speech → Text → LLM → Speech\) achieving sub\-second \(<1s\) end\-to\-end latency, forming the foundation for the company’s voice bot infrastructure • Designed and deployed RAG\-based QA systems, sales intelligence tools, and autonomous agents using state\-of\-the\-art LLMs, HuggingFace, and speech recognition technology — all going directly into production • Implemented automated NLP pipelines and QC processes leveraging cutting\-edge NLP tools that directly enabled key strategic partnerships and sustained user growth

Deep Learning Engineer at Bipolar Factory, Sep 2022 \- Nov 2022 · 3 mos, Bengaluru, Karnataka, India, Worked on Development and Deployment of Computer Vision and Deep Learning Models

Jina Community Advocates Panel Member at Jina AI, Jun 2022 \- Sep 2022 · 4 mos, • Featured as top 3 Developer Advocate Panel Member • Featured blog on medium \- https://link\.medium\.com/GJEumePxFzb

Developer Evangelist at Futurense Technologies, Feb 2022 \- May 2022 · 4 mos, Bengaluru, Karnataka, India, Responsible for developing and applying real\-world use cases of technical concepts and working alongside the marketing and design team portraying and bridging the gap of technical concepts and content to a greater audience\.

## Education

Bachelor of Technology \(BTech\), Computer Science & Engineering with specialisation in Artificial Intelligence and Machine Learning, Jain \(Deemed\-to\-be University\)

## Public links

- github: https://github\.com/Rishi0812

[View the original profile](https://tal.club/meet/rishi-ramesh)

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