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