Anubhav Adarsh profile photo 1 on Tal

Anubhav Adarsh

software engineer

Bengaluru

3+ years of work experience

Flume AI
Mar 20251 yr 2 mosApr 2026

San Francisco Bay Area

As one of the first engineers at Flume.AI, I played a central role in shaping the product from the ground up, working closely within a fast-moving team of three. Beyond building features, my focus was on identifying gaps between engineering and customer needs, driving metric-based improvements, and establishing an infrastructure that supports LLM-driven product development. Key Contributions Owned and architected the entire frontend, ensuring performance, scalability, responsiveness, and a seamless user experience across devices. Implemented an AI-powered sourcing assistant, enabling buyers to discover raw materials faster and make data-driven decisions, significantly improving search and discovery metrics. Integrated a secure and scalable payments system that supports ordering samples and tracking their lifecycle, strengthening reliability and user trust. Designed and implemented the full RAG and model-training stack—from an end-to-end embedding pipeline to fine-tuned domain-specific models—significantly improving search accuracy, sourcing speed, and buyer–supplier match quality. Built internal LLM-driven infrastructure and processes that support rapid experimentation, reliable deployment, and tight alignment between engineering output and customer workflows.
Itron, Inc.
Aug 20231 yr 8 mosMar 2025

Bangalore Urban, Karnataka, India

As a Software Engineer at Itron, I collaborated with four cross-functional teams over my tenure, contributing to both legacy and modern systems that support large-scale utility data operations. Key Contributions: Enhanced and maintained legacy web applications, implementing new features and mitigating critical security vulnerabilities such as cross-site scripting (XSS). Co-designed a scalable data architecture to migrate high-volume meter data from on-prem systems to an Azure Data Lake solution, improving performance, reliability, and analytics capability. Developed and maintained Windows services that handled data processing and communication between distributed systems. Resolved high-priority production issues, ensuring accuracy and integrity of meter data used by downstream analytics and customer-facing tools. Built and improved Angular applications and C# backend services, enabling users to visualize complex utility metrics through responsive, real-time dashboards.
Bright Money
Jul 20223 mosSep 2022

Bengaluru, Karnataka, India

Merakii
Nov 20219 mosJul 2022

Inovatyv
Aug 20214 mosNov 2021

Singapore

GitHub
@anubhavadarsh

Anubhav’s AI Stack

antigravity
antigravity
codex
codex
claudecode
claudecode

Education

Visvesvaraya Technological University

B.E. Information and Science, Computer Software Engineering

Visvesvaraya Technological University

20194 yrs2023

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Headline

software engineer

About

Engineer passionate about crafting fast, intuitive user experiences and building systems that scale. I thrive in early-stage environments where ownership is key, taking ideas from concept to production while ensuring reliability, performance, and usability. From building out entire application and integrating intelligent features that drive user engagement, to streamlining operations through automation and testing, I bring a balance of product thinking and technical execution. I’ve worked across legacy and modern systems, led architecture decisions, and contributed to initiatives that improved both business outcomes and user satisfaction. Above all, I value clear communication, clean code, and a bias toward shipping thoughtful, resilient solutions.

Location

Bengaluru

AI stack

antigravity

codex

claudecode

Work experience

Founding Engineer at Flume AI, Mar 2025 - Apr 2026 · 1 yr 2 mos, San Francisco Bay Area, As one of the first engineers at Flume.AI, I played a central role in shaping the product from the ground up, working closely within a fast-moving team of three. Beyond building features, my focus was on identifying gaps between engineering and customer needs, driving metric-based improvements, and establishing an infrastructure that supports LLM-driven product development. Key Contributions Owned and architected the entire frontend, ensuring performance, scalability, responsiveness, and a seamless user experience across devices. Implemented an AI-powered sourcing assistant, enabling buyers to discover raw materials faster and make data-driven decisions, significantly improving search and discovery metrics. Integrated a secure and scalable payments system that supports ordering samples and tracking their lifecycle, strengthening reliability and user trust. Designed and implemented the full RAG and model-training stack—from an end-to-end embedding pipeline to fine-tuned domain-specific models—significantly improving search accuracy, sourcing speed, and buyer–supplier match quality. Built internal LLM-driven infrastructure and processes that support rapid experimentation, reliable deployment, and tight alignment between engineering output and customer workflows.

Software Engineer at Itron, Inc., Aug 2023 - Mar 2025 · 1 yr 8 mos, Bangalore Urban, Karnataka, India, As a Software Engineer at Itron, I collaborated with four cross-functional teams over my tenure, contributing to both legacy and modern systems that support large-scale utility data operations. Key Contributions: Enhanced and maintained legacy web applications, implementing new features and mitigating critical security vulnerabilities such as cross-site scripting (XSS). Co-designed a scalable data architecture to migrate high-volume meter data from on-prem systems to an Azure Data Lake solution, improving performance, reliability, and analytics capability. Developed and maintained Windows services that handled data processing and communication between distributed systems. Resolved high-priority production issues, ensuring accuracy and integrity of meter data used by downstream analytics and customer-facing tools. Built and improved Angular applications and C# backend services, enabling users to visualize complex utility metrics through responsive, real-time dashboards.

Software Engineer at Bright Money, Jul 2022 - Sep 2022 · 3 mos, Bengaluru, Karnataka, India

Software Engineer at Merakii, Nov 2021 - Jul 2022 · 9 mos

Software Engineer at Inovatyv, Aug 2021 - Nov 2021 · 4 mos, Singapore

Education

B.E. Information and Science, Computer Software Engineering, Visvesvaraya Technological University

Public links

github: https://github.com/anubhavadarsh