BUILDING THE
BRIDGE BETWEEN
TECH & Value
I help enterprises unlock the full potential of data and AI platforms — translating complex technical capabilities into compelling business outcomes. Formerly CTO of an AI startup. Currently closing the gap between product and customer at scale.
BEYOND THE
TECH STACK
I'm Harsh — a Solutions Engineer who thrives at the intersection of deep technical fluency and business impact. I believe the best technology conversations happen when you can go deep on architecture in one breath and translate it into business value in the next. When I'm not building demos or closing enterprise deals, you'll find me on the tennis court, scouting New York's next great coffee shop, or locked in for race weekend.
BUILT FOR THE
TECHNICAL SALE
Designing end-to-end technical solutions that align product capabilities with enterprise requirements and business goals.
From LLM pipelines to computer vision — embedding AI capabilities into enterprise workflows that work in production.
End-to-end cloud transformations for major enterprises — from legacy migration to scalable data platform builds.
Architecting pipelines that process millions of records across 50+ requirements. Snowflake, Spark, dbt — the full modern stack.
100+ stakeholder interviews across C-suite, engineering, and operations. Translating pain into product — from first call to signed deal.
Contributor to HackerNoon. Building technical authority through writing that bridges engineering and business narrative.
THE RACE
HISTORY
Led technical discovery and delivered compelling PoCs via JavaScript and Python Flask for Tier 1 financial institutions — enabling analysis of 2M+ records across 50+ requirements and accelerating cloud modernization decisions and deal cycles by 30%.
Led an end-to-end AI radiology startup from prototype to production — scaling 50,000+ CT scans with an 83% improvement in detection accuracy. Raised ~$1M in funding and led a 26-person cross-functional team.
Partnered with Google Professional Services to deploy a full-stack DialogflowCX-based contact center AI solution for enterprise clients, boosting customer support experience by 27%.
Developed a linear regression model predicting Jenkins pipeline execution times, saving 2 hours of daily development costs. Built a Python Streamlit dashboard at 80% accuracy.
Directed a React dashboard for mental health clinicians to organize intake data from 100+ patient self-evaluation forms. Trained Azure Form Recognizer on medical data at 90%+ accuracy.
THE TRAINING
GROUND
Bridging engineering depth with business strategy — product development, systems thinking, and leadership at the intersection of technology and management.
Core foundations in algorithms, systems, and software engineering. Built and shipped multiple AI projects — from ML pipelines to full-stack applications — throughout undergrad.
START THE
ENGINE?
Looking for Solutions Engineer opportunities at AI, data & Cloud platforms.