Founder · AI product engineer · Hyderabad, India

I build intelligence
that works
for people.

From voice agents to opportunities for students and founders, I turn ambitious ideas into systems people can actually use.

Explore selected work The story behind it
Independent by instinct. Collaborative by practice.Scroll to discover
1.6Mrésumés processed
at Datalabs AI
300+early active users
on Findia
13engineers led
at Datalabs AI
5,000+students served
through CBIT placements
01 / SELECTED WORK

Built to leave
the prototype behind.

Different products, one test: can it hold up when real people use it?

01 · PARTNER & TECHNOLOGY LEADLIVE PRODUCT

Response AI

A platform for deploying AI voice agents across large outbound calling campaigns. I designed the system that separates client data and connects calling, scheduling, billing, and the dashboard teams use to see what happened.

Voice agentsMulti-tenant systemsProduct architecture
Inside the work

In practice. The platform has handled campaigns for ICFAI University’s Online MBA team, its first paying institutional client. About 1,300 leads had been added by October 2026.

My role. Architect, lead engineer, and technology partner. Response Informatics brings client relationships and infrastructure funding.

02 · FOUNDERLIVE PRODUCT

Findia

A place to discover startup ideas, find collaborators, and test whether an idea resonates beyond your own circle. Built to make opportunity feel closer, especially for people without a ready-made network.

CommunityDiscovery300+ early users
Inside the work

Finding the first users. Findia had more than 300 active users by early October 2026. I also pitched it to a room of 62 founders ↗ at Draper Startup House Hyderabad, where the discussion tested our approach to distribution.

Room to build. The AEGIS ecosystem secured $5,000 in Azure credits through Microsoft for Startups to support Findia’s infrastructure. Findia also received approximately $500 in MongoDB for Startups credits. These are cloud credits, not investment or revenue.

03 · FOUNDERIN DEVELOPMENT

AEGIS

Secure technical assessments designed to work at scale, including when an internet connection cannot be relied on. The goal is to give skills a clearer, more credible signal.

AssessmentOffline capableBITSoM top 150 / 2,300+
Inside the work

CBIT and Response Informatics are testing AEGIS in live pilots. The product is still in development; the pilots help shape the system before broader release. In 2026, it was selected for the BUILD round of BITSoM Vertex AI Builders’ Pitch Fest from more than 2,300 registrations.

04 · DATA SCIENTIST / TECH LEAD2023—2025

Datalabs AI

From intern to technical lead: I worked on candidate intelligence at scale, real-time interpretation, and client-facing AI prototypes, while leading a team of 13 engineers.

Applied AILeadershipClient delivery
Inside the work

Worked on processing roughly 1.6 million résumés from a Naukri database. Led work on BRIDGE, a bilingual interpretation system, and joined a prototype demonstration at Nokia’s Chennai office.

05 · CHIEF AI OFFICER2025—2026

PhoQtek Labs

Led development across document intelligence, AI presentation tooling, and GPU infrastructure; contributed to drone research and prepared technical demos and material for fundraising.

R&DInfrastructureTechnical leadership
Inside the work

Owned technical development across multiple product lines, bringing research, deployment, and stakeholder communication into the same role.

02 / HOW I WORK

The best systems start
with better questions.

01

Get close to the problem.

I like hearing the real call, watching the real workflow, and asking what the user was trying to do before drawing a solution.

02

Build, then listen.

A working prototype is a way to learn. The harder work is making it dependable after the first demonstration.

03

Bring people with you.

I’ve learned that technical judgment improves when engineers, clients, and end users can understand one another.

✳

“I still like opening the machine to see how it works. Now I also ask who will rely on it.”

03 / THE THROUGH LINE

A curious kid.
A larger responsibility.

Every chapter made the next question a little bigger.

01 / EARLY ON

A screwdriver and a remote-control car

I took the car apart to understand how it listened to a remote. Its motor later powered a small wooden boat. That instinct to open things, understand them, and rebuild them has stayed with me.

2020—2024

AI, people, and CBIT

I chose CBIT’s new AI and Data Science program because I believed AI would change how we live and work. I found another education in its placement office, where I helped coordinate 200+ recruitment drives for more than 5,000 students with a team of about 65 coordinators.

2023—2025

From the campus floor to client rooms

A campus hiring drive introduced me to Datalabs AI. There I moved from intern to technical lead, learned to translate early ideas into working systems, and presented to enterprise teams. At PhoQtek Labs, I took on broader research, infrastructure, and technical leadership.

NOW

Building opportunity into the system

Findia, AEGIS, and Response AI tackle different barriers: finding the right people, proving ability, and reaching people at scale. The common thread is making capable technology genuinely useful.

04 / IN THE ROOM

The work has
people in it.

A few frames from the places where ideas became conversations, teams, and next steps.

Sushruth Samson at BITSoM Vertex AI Builders' Pitch Fest
01 / BITSoMAt the Builders’ Pitch Fest
Sushruth Samson and a teammate at the BITSoM event
02 / BUILDING TOGETHERShowing up as a team
Sushruth Samson speaking about Findia to a room of founders in Hyderabad
03 / FINDIAPitching to founders ↗
Datalabs AI colleagues and leaders at a team dinner
04 / DATALABS AIThe team behind the work
05 / CONVERSATIONS

The people who
changed my questions.

I seek out people whose experiences can challenge my assumptions, then bring what I learn back to the work.

01 / RESEARCH & SYSTEMS

Chris Gregg

Stanford Computer Science · Associate Chair for Education

We discussed his work on CPU and GPU performance, the wider Stanford AI ecosystem, and how to choose problems with real impact. I left with sharper questions about intelligent systems and the people they serve.

Read my account of the conversation
02 / A STUDENT'S VIEW

Carlos Andrés Espriú

Stanford master's graduate

In a one-hour conversation, Carlos shared the lived details of studying at Stanford, from coursework and teaching to funding and the Bay Area. His advice on telling an authentic story stayed with me.

Read my account of the conversation
06 / MOMENTS THAT SHAPED ME

The work is
in the details.

Three experiences that changed how I think about responsibility, honesty, and the people on the other side of a system.

01 / CBIT

When an exam and a job offer collided

After I graduated, juniors told me their semester exams had been moved onto mandatory onboarding dates. I brought the conflict to CBIT’s leadership. They arranged a supplementary exam path without a backlog mark on the official transcript, so students could take the jobs they had earned.

02 / NOKIA, CHENNAI

We improved the demo. We still lost the deal.

Our live translation prototype lagged by two to three seconds. My team worked through the night and cut that to about one to one and a half seconds. It was meaningful progress, but still short of the client’s expectation. I learned to distinguish a promising prototype from a product ready for enterprise use.

03 / RESPONSE AI

Listen to the call, then fix the system

When a client reported a problem, I went back to the actual call recordings, identified the cause, and changed the agent’s behavior. Product ownership means staying close enough to users to see what failed, and being candid about the numbers afterward.

07 / MILESTONES & EVIDENCE

Built, tested,
recognized.

A few public milestones and the people behind them.

2026 / BITSoM

Top 150 of 2,300+ registrations. AEGIS was selected for the BUILD round of BITSoM Vertex AI Builders’ Pitch Fest. See the milestone ↗ Incubator admission is a later stage.

2026 / CLOUD SUPPORT

$5,000 in Azure credits through Microsoft for Startups for the AEGIS ecosystem’s Findia work, plus approximately $500 in MongoDB credits for Findia ↗. Azure announcement ↗

2025 / HACKATHON

First place at Apex Neural’s Generative AI Hackathon. I led the team presentation of an AI recruitment prototype combining résumé scoring, automated outreach, and interviews.

2022 / HACKATHON

Winner of CBIT Hacktoberfest. Our project translated hand gestures into text and laptop controls.

2024 / SERVICE

CBIT Certificate of Merit for placement leadership, initiative, and service to fellow students.

2025 / RESEARCH

Co-author of The Co-teacher—A Tool for Learning Using ChatGPT ↗, published in Springer conference proceedings.

Sushruth with his team receiving the Apex Neural hackathon award
Apex Neural, 2025 · The team behind the win
Sushruth with teammates at the Apex Neural hackathon
Build together
CBIT Hacktoberfest 2022 certificate of merit awarded to Sushruth Samson
CBIT Hacktoberfest, 2022
View the Apex Neural story on LinkedIn ↗
08 / THE PERSON BEHIND THE WORK

Not everything
happens at a desk.

I’ve always learned by moving between different rooms and different people.

01 / MOVEMENT

Dance gave me a community.

At CBIT’s dance club, I practised and competed with a team, met students across departments, and learned to contribute to something larger than my own part.

✳
02 / MUSIC

A different kind of listening.

I play guitar and keyboard for devotional music, along with cajón and a little flute. Preparing to play with others taught me to listen for what a song needs.

03 / PLAY

Always learning another move.

Chess, swimming, football, and a blue belt in karate keep me curious in ways that have nothing to do with a screen.

09 / THE NEXT CONVERSATION

Have a hard problem?
Let’s talk.

I’m drawn to ambitious ideas, useful technology, and people who care about both.

Email Sushruth
LinkedIn GitHub