Sourabh Pardeshi portrait

Assurd Techlabs, Pune

HELLO

Meet Sourabh PardeshiThe founder and CEO of Assurd Techlabs — a verification layer for pre-owned hardware transactions.

View Assurd
Pune, India
ABOUT

For the past seven years, Sourabh’s work has centered on architecting and scaling machine learning systems across the United States and India. As a Senior ML Architect, his focus was on the deep infrastructure layer — optimizing distributed training, cutting latency, and ensuring models held up under massive compute demands.

Recognizing that high-performance software is ultimately at the mercy of the physical hardware it runs on, he identified a critical industry vulnerability: the deployment of incredibly complex AI models on top of hardware ecosystems that operate almost entirely on blind trust.

Sourabh stepped away from standard ML infrastructure to solve for this physical layer by founding Assurd Techlabs. Today, he is replacing trust with cryptographic and physical proof; engineering forensic test rigs and thermal validation systems to certify high-end compute hardware before it ever hits a production environment.

Most hardware transactions run on trust.Trust breaks. Systems don't.

COMPANY

Assurd Techlabs

We are building the definitive verification layer for high-end compute. By combining forensic physical inspection with immutable digital records, we ensure that every piece of hardware entering your infrastructure is mathematically and physically proven to perform.

Assurd lab setup

Silicon authentication

Deep-level validation of compute components to ensure pure authenticity.

Thermal stress validation

Pushing limits on open-air chassis test rigs to uncover any physical degradation.

Public digital certification

Immutable cryptographic records generated for every single hardware unit.

PROCESS

Evidence, captured at the physical layer.

Open-air Test Bench

High-Fidelity Stress Testing

Every unit is physically triaged and stress-tested on our custom, open-air hardware rigs. We push silicon to its absolute thermal and computational limits to expose hidden degradation, micro-fractures, and voltage instabilities. This rigorous physical validation leaves zero room for guesswork, ensuring enterprise-grade reliability.

Power Meter Validation

Power & Thermal Telemetry

Thermal and power telemetry reveals the undeniable truth under extreme load. By capturing high-frequency data across voltage regulators and compute dies, we establish a precise baseline of hardware health. This telemetry is cryptographically signed and bound to the unit's unique physical identity.

Macro Component Inspection

Silicon-Level Authentication

Macro inspection validates component authenticity down to the silicon level. We utilize high-resolution optical analysis to detect counterfeit PCBs, altered serial numbers, or unauthorized micro-soldering. The final output is a public, undeniable certificate of authenticity, not just a vendor's promise.

THE OUTPUT

A cryptographic receipt of physical health.

Every hardware unit certified by Assurd generates an immutable, publicly verifiable record. This isn't a sticker—it's a mathematical guarantee.

Assurd OS // Forensic Readout
GRADE: GOLD

Silicon Identity

ASSET_CLASSNVIDIA GeForce RTX 4070 Ti SUPER
VENDOR_AIBColorful NB EX-16GB
VBIOS_SHA2567e5ab9ae...77b926d8

Physical Triage

PCB StateA_PRISTINE
PCIe LanesA_PERFECT
12VHPWRPRISTINE
12V Short PASS

Telemetry (Under Load)

PEAK_HOTSPOT88.8°C
SUSTAINED_CLOCK2804 MHz
SILICON_LOTTERYTop 1%
View Cryptographic Certificate
PROJECTS

Production Infrastructure & Engineering Milestones

Hardware Certification Infrastructure

Assurd Techlabs
  • Engineered the proprietary forensic engine that autonomously authenticates silicon and translates raw thermal telemetry into undeniable proof of health.
  • Architected the globally scalable cryptographic infrastructure that generates, scores, and hosts Assurd's public verification ledgers.
Hardware Certification Infrastructure

High-Throughput AI Search & Discovery

Adeptmind Inc.
  • Architected sub-millisecond AI discovery pipelines capable of continuously processing millions of enterprise assets daily with zero latency degradation.
  • Revolutionized semantic search precision by 24%, deploying deep-learning retrieval systems that directly accelerated user discovery at scale.
High-Throughput AI Search & Discovery

Elite Sports Biometric Tracking

Hop Labs
  • Spearheaded computer vision R&D for Tier-1 La Liga franchises, prototyping high-fidelity facial re-identification models for real-time athletic tracking.
  • Engineered advanced biometric embedding architectures that achieved 90% separation accuracy in complex, high-occlusion stadium environments.
Elite Sports Biometric Tracking

Enterprise Autonomous Operations

Outrider AI
  • Transformed enterprise operational lifecycles by orchestrating fully autonomous, zero-downtime deployment architectures for mission-critical ML systems.
  • Eliminated massive computational bottlenecks, recovering hundreds of engineering hours and accelerating the delivery of production-ready AI models.
Enterprise Autonomous Operations

Institutional Risk Intelligence

Noonum Inc.
  • Commanded the deployment of predictive risk intelligence models relied upon by hundreds of institutional asset managers to secure high-stakes financial portfolios.
  • Architected robust anomaly detection pipelines that processed massive streams of global financial data into actionable, institutional-grade insights.
Institutional Risk Intelligence

Real-Time Aerial Spatial Intelligence

Lucid Drone Technologies
  • Architected rapid-prototype semantic segmentation models designed to process live, high-framerate aerial telemetry from autonomous drone fleets.
  • Optimized deep learning vision pipelines for strict edge-compute constraints, enabling instantaneous spatial awareness in active flight environments.
Real-Time Aerial Spatial Intelligence
ACADEMIC FOUNDATION
University of North Carolina at Charlotte
Class of 2020

M.S. in Computer Science

University of North Carolina at Charlotte

Specialized in scalable machine learning architectures and distributed computing. First in the family to leave the country and earn a Master's degree.

University of Pune
Class of 2017

B.E. in Information Technology

University of Pune

First-generation engineer. Built the deep algorithmic and systems engineering foundation that drives Assurd's infrastructure today.