Aryan Gadroo profile photo 1 on Tal

Aryan Gadroo

AI FDE @Spinny | Ex - Rapido, Bolna (YC F25) | CSE @IIIT

Gurugram

1+ year of work experience

Spinny
Jun 20265 mosPresent

Gurugram

Building production-grade Voice AI agents & intelligent automations @ Spinny | Unlocking LLMs for deep system reverse engineering & advanced workflows.
Value AI Labs
Dec 20257 mosJun 2026

Bengaluru

At Bolna, I realized that foundation models would continue getting better at writing code. That shifted my perspective: the real bottleneck wasn't AI; it was my engineering fundamentals. At ValueAI Labs, I had the opportunity to work alongside engineers with decades of experience building production systems long before AI-assisted development. It completely changed how I think about software engineering. I learned that great engineering is not just about making code work. It is about writing code others can understand, designing clean and maintainable architectures, building reliable systems, reviewing code thoughtfully, testing rigorously, and collaborating effectively within an engineering team. This experience strengthened my understanding of code quality, project structure, testing, and the discipline required to build software that lasts. Those lessons continue to shape how I build AI products today. As AI becomes increasingly capable, I believe strong engineering fundamentals become even more valuable. Tech Stack: TypeScript, AI Search, Answer Engine Optimization (AEO), LLMs
Bolna (YC F25)
Sep 20253 mosNov 2025

Bengaluru

At Bolna, I built production-grade Voice AI agents powering ~2,000 customer calls daily. I worked directly with customers to understand their requirements and translate them into natural, reliable conversational flows. I refined prompts, branching logic, and fallback handling to improve agent performance. I also built LLM-powered audit pipelines to evaluate conversations, identify failure patterns, and drive improvements. Through iterative prompt optimisation, I increased average interaction time by 40%. This experience taught me to take Voice AI from customer discovery to production, combining hands-on engineering, automated evaluation, and continuous iteration. Tech: TypeScript, Prompt Engineering, LLM Systems, Workflow Design, n8n, PostHog
Rapido
Jun 20252 moAug 2025

Bengaluru

At Rapido, I built automated data pipelines to scrape and process data from Zomato and Swiggy for 150+ restaurants daily, improving reliability through rate-limit handling and workflow optimisation. As these workflows became increasingly automated, I wanted to take on more technically challenging problems, particularly in Voice AI. When Matty from Bolna reached out with an opportunity to work on voice agents, I decided to pursue that interest and learn how production-grade conversational AI systems are built and deployed. Tech: Python, Data Pipelines, BeautifulSoup, Requests

Aryan’s AI Stack

claude
claude
codex
codex
cursor
cursor
hermes agent
hermes agent
hugging face
hugging face
n8n
n8n

Education

IIIT-Naya Raipur

Bachelor of Technology - BTech, Computer Science

IIIT-Naya Raipur

20214 yrs2025
Lal Bahadur Shastri Smarak Javm Sr School

12th

Lal Bahadur Shastri Smarak Javm Sr School

20182 yrs2020

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Headline

AI FDE @Spinny | Ex - Rapido, Bolna (YC F25) | CSE @IIIT

About

I've skills in my arsenal because of my experience (internship experience in this context) ,the experiences are because of my ambition to learn more and scale up to the next level. The ambition drives my way and keeps me motivated to learn and grow. FAQ 1) Enough talk , what's your technical skills? Ans ~ Check my experience below/talk to me about things you wish to know. 2) Any super power? Ans ~ Not to shy from asking questions (Most of times with a solution but confirming the solution is important) 3) How do you work? Ans ~ I try to present the solutions of the problem and whosoever is making the calls has to decide what to go on with. 4) What are you looking for? Ans ~ Challenges that help me learn and grow.

Location

Gurugram

AI stack

claude

codex

cursor

hermes agent

hugging face

n8n

Work experience

AI FDE, CEO's office at Spinny, Jun 2026 - Present · 5 mos, Gurugram, Building production-grade Voice AI agents & intelligent automations @ Spinny | Unlocking LLMs for deep system reverse engineering & advanced workflows.

Software Engineer at Value AI Labs, Dec 2025 - Jun 2026 · 7 mos, Bengaluru, At Bolna, I realized that foundation models would continue getting better at writing code. That shifted my perspective: the real bottleneck wasn't AI; it was my engineering fundamentals. At ValueAI Labs, I had the opportunity to work alongside engineers with decades of experience building production systems long before AI-assisted development. It completely changed how I think about software engineering. I learned that great engineering is not just about making code work. It is about writing code others can understand, designing clean and maintainable architectures, building reliable systems, reviewing code thoughtfully, testing rigorously, and collaborating effectively within an engineering team. This experience strengthened my understanding of code quality, project structure, testing, and the discipline required to build software that lasts. Those lessons continue to shape how I build AI products today. As AI becomes increasingly capable, I believe strong engineering fundamentals become even more valuable. Tech Stack: TypeScript, AI Search, Answer Engine Optimization (AEO), LLMs

FDE at Bolna (YC F25), Sep 2025 - Nov 2025 · 3 mos, Bengaluru, At Bolna, I built production-grade Voice AI agents powering ~2,000 customer calls daily. I worked directly with customers to understand their requirements and translate them into natural, reliable conversational flows. I refined prompts, branching logic, and fallback handling to improve agent performance. I also built LLM-powered audit pipelines to evaluate conversations, identify failure patterns, and drive improvements. Through iterative prompt optimisation, I increased average interaction time by 40%. This experience taught me to take Voice AI from customer discovery to production, combining hands-on engineering, automated evaluation, and continuous iteration. Tech: TypeScript, Prompt Engineering, LLM Systems, Workflow Design, n8n, PostHog

Generalist at Rapido, Jun 2025 - Aug 2025 · 2 mo, Bengaluru, At Rapido, I built automated data pipelines to scrape and process data from Zomato and Swiggy for 150+ restaurants daily, improving reliability through rate-limit handling and workflow optimisation. As these workflows became increasingly automated, I wanted to take on more technically challenging problems, particularly in Voice AI. When Matty from Bolna reached out with an opportunity to work on voice agents, I decided to pursue that interest and learn how production-grade conversational AI systems are built and deployed. Tech: Python, Data Pipelines, BeautifulSoup, Requests

Education

Bachelor of Technology - BTech, Computer Science, IIIT-Naya Raipur

12th, Lal Bahadur Shastri Smarak Javm Sr School

Public links

github: https://github.com/gadroo

codeforces: https://codeforces.com/profile/kyom