Unmukt Raizada

CEO

San Francisco, California, United States16 yrs 1 mo experience

Highly StableAI Enabled

Key Highlights

Expert in building reliable AI systems for production.
Led AI initiatives in top financial institutions.
Pioneered evaluation frameworks for enterprise AI.

Stackforce AI infers this person is a Fintech and AI expert with a focus on enterprise solutions and compliance.

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Skills

Core Skills

Ai Driven Product InnovationData Architecture And AnalyticsMachine LearningPredictive AnalyticsAi/ml Powered Compliance SolutionsData ScienceEnterprise SaasApi Based System IntegrationsDriving Process Efficiency

Other Skills

Cross Functional Team CollaborationPlatform ScalabilityTeam LeadershipOperational ScalingProcess OptimizationData Analytics and ReportingBusiness AnalysisTalent Development and MentorshipWorkflow ManagementPaymentsSecuritiesCustomer Centric Product DevelopmentAPI Ecosystem and IntegrationGTM Strategy ExecutionCustomer Retention Strategies

About

As organizations scale AI into production, reliability is no longer optional — it is the difference between user delight and costly hallucinations.After 16 years leading data and AI initiatives at Goldman Sachs, JPMorgan, Airtel, and Thena.ai, I’ve seen a consistent pattern: great models fail because evals weren’t built for real-world complexity.My focus is to fix that — providing continuous evaluation infrastructure for RAG and agentic systems, so businesses can measure and improve reliability, accuracy, and safety across their entire AI stack.

Experience

Trustevals.ai

Founder, CEO

Dec 2025 – Present · 4 mos · San Francisco Bay Area · On-site

We help enterprises close the gap between AI that works in testing and AI that works in production.
We build evaluation pipelines, red team, classify and label production traces, and create golden datasets that turn unreliable AI systems into ones you can actually trust. Think of us as the quality assurance layer for your AI—human-in-the-loop expertise meets LLM-as-judge infrastructure.

API Based System IntegrationsDriving Process EfficiencyCross Functional Team CollaborationAI Driven Product InnovationData Architecture and AnalyticsPlatform Scalability+3

Thena

Co-Founder, Product

Jun 2022 – Present · 3 yrs 10 mos

As co-founder, I scaled AI insights systems for enterprise messaging. Learned firsthand how evaluation loops determine success or failure in LLM-driven applications.

Wynk limited

AVP - Product

Jul 2021 – Jun 2022 · 11 mos

At Wynk (Airtel Digital), we scaled ML-based recommendation and ranking systems that balanced relevance, latency, and infrastructure cost for 120 million+ monthly users.
Our challenge wasn’t just improving personalization — it was learning how to quantitatively evaluate trade-offs between accuracy, user satisfaction, and system cost in real time.
We built custom weighting algorithms and evaluation loops that continuously scored and tuned these trade-offs — an early precursor to the kind of multi-dimensional eval frameworks that TrustEvals.ai now delivers for enterprise AI systems.

Machine LearningPredictive AnalyticsData Analytics and Reporting

Jpmorgan chase & co.

VP, Applied Artificial Intelligence & Machine Learning

Mar 2020 – Jul 2021 · 1 yr 4 mos · Mumbai, Maharashtra

At J.P. Morgan Chase, I worked with the Securities and Regulatory teams to build AI systems that could meet audit and compliance standards — not just automate tasks.
We were building the foundation for regulatory-grade AI, where explainability, traceability, and semantic consistency weren’t optional — they were legal requirements.
I led initiatives that combined Rack-based data pipelines, embedding-driven semantics, and an internal version of what would later resemble Qube.dev, ensuring consistent data meaning and transparent AI-driven reporting.
That experience shaped my conviction that AI trust has to be engineered — not assumed. It’s the same principle that underpins how TrustEvals.ai designs eval systems for production-grade reliability today.

AI/ML Powered Compliance SolutionsData ScienceBusiness Analysis

Goldman sachs

Chief Data Architect & Data Product

Jul 2013 – Mar 2020 · 6 yrs 8 mos · Bengaluru, Karnataka, India

Led the product and data architecture behind $1T+ transaction systems. Built frameworks for data integrity, auditability, and trust — foundations that now shape how we think about evals in production AI.

Enterprise SaaSData Architecture and AnalyticsTeam Leadership

Wipro

Analyst Programmer

Feb 2010 – Jun 2013 · 3 yrs 4 mos · Bangalore

Developed scalable software solutions for enterprise clients, focusing on efficiency and user-centric designs.
Key Highlights
Designed a retail customer onboarding tool for UBS, reducing onboarding time by 60% (from 5 days to 2 days).
Led metadata integration efforts for enterprise SaaS platforms, improving data accessibility across systems.
Contributed to the successful launch of API-based systems that streamlined onboarding and operational workflows.
Collaborated with cross-functional teams, ensuring seamless integration and deployment of onboarding tools.
Championed process improvements, creating workflows that significantly enhanced productivity for client operations.
Built strong client relationships by delivering timely, efficient, and high-quality solutions.

API Based System IntegrationsDriving Process EfficiencyCross Functional Team Collaboration