About

Product & AI for teams turning AI ambition into shipped systems.

I work across product discovery, AI systems architecture, rapid prototyping, and production delivery, building AI products that solve real problems.

Connect Email mail@yashvardhan.dev LinkedIn CV / Resume

Experience

PineBrook Technologies

Founder's Office

Jun–Nov 2026

Built and shipped complete digital platforms: issafoundation.co.in, pinebrooktechnologies.com digital presence, and specialsprings.com India market platform.
Engineered customer-facing interactive demo environments that cut unqualified demos by 60% and reduced sales cycles by three weeks.
Translated complex enterprise compliance workflows into automation, cutting recurring documentation effort by 80%.
Directly helped shape three qualified enterprise opportunities with sub-100 ms demo interactions.

Research Fellow

Edge AI systems research

Jan–May 2026

Benchmarked eight vision architectures across four hardware platforms for edge visual-language workloads.
Presented a hardware-aware framework for interpreting edge visual-language latency trade-offs, including the Cache Cliff terminology.

GetCred

Product & systems builder

Sep–Dec 2025

Designed an alternative credit scoring engine (0–900 GigScore) for 80M+ unbanked gig and informal workers using UPI behavioral signals.
Engineered a sub-5ms zero-Python tree inference pipeline processing 2M+ simulated transactions with zero raw statement retention under DPDP Act 2023.

Medikabazaar

Data & operations engineer

Jun–Aug 2025

Reduced payout turnaround from three days to under ten minutes across 400+ monthly transactions.
Built data workflows spanning 10,000+ records in 28 states and improved downstream automation reliability by 35%.

What I bring to product & AI

Product discovery
Solution scoping
PRDs & technical specs
Prototyping & MVPs
AI routing & benchmarking
Latency & edge architecture
Cloudflare Workers & D1
IndexedDB
Product analytics & funnels
Experimentation
Adoption & retention
Jira
TypeScript
Next.js 16
Python
PostgreSQL
Drizzle ORM
XGBoost & SHAP

Education & leadership

B.Tech (Honours), Information Technology, KIIT University ('26).

Top 100 of 60,000+; IIT Delhi Ideathon Winner. Microsoft Learn Student Ambassadors: grew a 150+ member community, supported a 3,500+ participant event, onboarded 100+ ambassadors, and trained 400+ attendees.

Frequently asked questions

Are you available for hire?: Yes. My availability is immediate or flexible, and I am open to remote (global) roles or relocation. Based in New Delhi, India. You can book a discovery call on Cal.com at cal.com/yashvardhans/coffee.
What roles are you targeting?: Product & AI Engineer, Full-Stack Systems Engineer, and AI/ML Systems Builder roles, focused on high-performance AI products, sub-5ms inference, edge latency optimization, and enterprise workflow automation.
What did you deliver at PineBrook Technologies?: As Founder's Office (Jun–Nov 2026), I shipped issafoundation.co.in, the pinebrooktechnologies.com digital presence, and the specialsprings.com India market platform. Interactive demo environments cut unqualified enterprise demos by 60% and shortened sales cycles by three weeks, and compliance documentation effort fell by 80%.
What is the Cache Cliff?: The Cache Cliff is my hardware-aware framing for edge AI systems research, presented at the International Conference on Computing and Communication Networks (ICCCNet 2026). It describes non-linear latency trade-offs in edge visual-language workloads. Eight vision architectures were benchmarked across four edge hardware platforms, and results should be validated on the target hardware.
What engineering stack do you use?: TypeScript, Next.js 16, React 19, Python, Cloudflare Workers, PostgreSQL with Drizzle ORM, XGBoost with SHAP for explainable models, and edge AI runtimes such as TFLite and TensorRT.

Yashvardhan Singh

About

Experience

Skills

Experience

PineBrook Technologies

Founder's Office

Jun–Nov 2026

Built and shipped complete digital platforms: issafoundation.co.in, pinebrooktechnologies.com digital presence, and specialsprings.com India market platform.
Engineered customer-facing interactive demo environments that cut unqualified demos by 60% and reduced sales cycles by three weeks.
Translated complex enterprise compliance workflows into automation, cutting recurring documentation effort by 80%.
Directly helped shape three qualified enterprise opportunities with sub-100 ms demo interactions.

Research Fellow

Edge AI systems research

Jan–May 2026

Benchmarked eight vision architectures across four hardware platforms for edge visual-language workloads.
Presented a hardware-aware framework for interpreting edge visual-language latency trade-offs, including the Cache Cliff terminology.

GetCred

Product & systems builder

Sep–Dec 2025

Designed an alternative credit scoring engine (0–900 GigScore) for 80M+ unbanked gig and informal workers using UPI behavioral signals.
Engineered a sub-5ms zero-Python tree inference pipeline processing 2M+ simulated transactions with zero raw statement retention under DPDP Act 2023.

Medikabazaar

Data & operations engineer

Jun–Aug 2025

Reduced payout turnaround from three days to under ten minutes across 400+ monthly transactions.
Built data workflows spanning 10,000+ records in 28 states and improved downstream automation reliability by 35%.

Frequently asked questions

Are you available for hire?

Yes. My availability is immediate or flexible, and I am open to remote (global) roles or relocation. Based in New Delhi, India. You can book a discovery call on Cal.com at cal.com/yashvardhans/coffee.

What roles are you targeting?

Product & AI Engineer, Full-Stack Systems Engineer, and AI/ML Systems Builder roles, focused on high-performance AI products, sub-5ms inference, edge latency optimization, and enterprise workflow automation.

What did you deliver at PineBrook Technologies?

As Founder's Office (Jun–Nov 2026), I shipped issafoundation.co.in, the pinebrooktechnologies.com digital presence, and the specialsprings.com India market platform. Interactive demo environments cut unqualified enterprise demos by 60% and shortened sales cycles by three weeks, and compliance documentation effort fell by 80%.

What is the Cache Cliff?

The Cache Cliff is my hardware-aware framing for edge AI systems research, presented at the International Conference on Computing and Communication Networks (ICCCNet 2026). It describes non-linear latency trade-offs in edge visual-language workloads. Eight vision architectures were benchmarked across four edge hardware platforms, and results should be validated on the target hardware.

What engineering stack do you use?

TypeScript, Next.js 16, React 19, Python, Cloudflare Workers, PostgreSQL with Drizzle ORM, XGBoost with SHAP for explainable models, and edge AI runtimes such as TFLite and TensorRT.