Prasanth V — AI Researcher

I help CEOs and business leaders turn AI from a buzzword into profit, time savings, and lower risk. As a Fractional Chief AI Officer & Automation Leader, I design and deliver AI programs that start as a simple proposal and end as production systems that save thousands of hours and millions in value—not slides, but shipped outcomes. Over the last several years, I’ve led AI and automation work across SaaS, enterprise, and startup environments, including: Building an AI-powered Systems ,Workflows and operations platform on a founding team that automated large-scale triage and drafting, freeing teams from repetitive work and shrinking backlogs. Leading enterprise AI and analytics initiatives that removed heavy manual reporting, sped up decision-making, and created reusable AI patterns across the business. Designing multi-agent AI systems and risk platforms that improved accuracy, increased transparency of AI decisions, and reduced compliance and operational risk. How I create value: P&L impact: AI initiatives tied directly to revenue, cost savings, and productivity—not “labs projects.” End-to-end ownership: From business case and roadmap → to architecture and build → to rollout, adoption, and continuous improvement. Executive partnership: I work directly with CEOs, founders, and CxOs to prioritize use cases, define KPIs, and communicate results in plain business language. Governance & trust: Clear guardrails, auditability, and performance dashboards so leaders can safely scale AI in sensitive workflows. I stay hands-on enough to be credible with technical teams (AI, data, cloud, engineering) while operating at the strategy, portfolio, and leadership level with executives. What I’m looking for: Head of AI / AI & Automation Leader / Fractional CAIO roles where AI is central to the strategy—and where there’s a mandate to free people from low-value work, protect margins, and build durable competitive advantage with AI. If you’re a CEO, founder, or operator thinking “we should be doing more with AI, but in a controlled and outcomes-driven way,” I’d love to talk. Send me an invite or an Email to prasanthvemula1729@gmail.com

Stackforce AI infers this person is a SaaS AI and Automation expert with a strong focus on productivity and operational efficiency.

Experience: 5 yrs 11 mos

Skills

Ai Systems
Automation
Data Integration
Customer Experience
Education
Machine Learning
Web Development
Site Reliability
Computer Science

Career Highlights

Delivered AI systems with significant P&L impact.
Expert in automating workflows and enhancing productivity.
Strong background in AI education and mentorship.

Work Experience

Tribis Inc

Data Scientist (1 yr 6 mos)

quasero

Data Scientist(AI) (11 mos)

Amity Tech corporation

AI Engineer – Conversational Systems (3 mos)

University of North Texas

Graduate Instructor – AI, Data & Statistics (1 yr 1 mo)

Honeywell

Site Reliability Engineer (6 mos)

Amrita Vishwa Vidyapeetham

Lab Instructor (Computer Science & Engineering) (3 yrs 6 mos)

Education

Master of Science - MS at University of North Texas

Bachelor's of technology at Amrita School of Business - Coimbatore

High school at Sasi educational institutions

Prasanth V

AI Researcher

United States5 yrs 11 mos experience

AI ML PractitionerHighly Stable

Key Highlights

Delivered AI systems with significant P&L impact.
Expert in automating workflows and enhancing productivity.
Strong background in AI education and mentorship.

Stackforce AI infers this person is a SaaS AI and Automation expert with a strong focus on productivity and operational efficiency.

Contact

Skills

Core Skills

Ai SystemsAutomationData IntegrationCustomer ExperienceEducationMachine LearningWeb DevelopmentSite ReliabilityComputer Science

Other Skills

data analysisnatural language processingAI assistantsdata pipeline efficiencyAI-powered support assistantticket resolutioncurriculum developmentapplied machine learningdata literacyJavaScriptNode.jsReact.jscomputer science educationprogrammingworkshop facilitation

About

Experience

5 yrs 11 mos

Total Experience

2 yrs 2 mos

Average Tenure

1 yr 6 mos

Current Experience

Tribis inc

Data Scientist

Nov 2024 – Present · 1 yr 6 mos · Dallas, Texas, United States · Remote

Working for Ao Partners who is my current Client
Led creation of a multi-agent “platform agent” that routed questions to specialized AI assistants, cutting manual query handling by ~35% and saving 1,000+ hours per year for support, risk, and operations teams.
Built a reusable AI platform that reduced time-to-value for new use cases by 40%, turning ideas into live assistants in weeks instead of months.
Increased throughput and quality of text and document understanding by 50%, enabling more issues to be handled daily without additional headcount.
Delivered reliable, always-on AI capabilities with 99.8% uptime and 25% fewer client-reported issues, protecting customer trust and lowering the cost of firefighting production problems.
Improved relevance of AI search and recommendations by ~45%, helping users find the right insights faster and contributing to a meaningful six- to seven-figure productivity uplift across the portfolio.
Led the design and rollout of an AI-powered operations platform that automated triage and drafting, saving an estimated 10,000+ hours of manual work per year across operations and support.
Took the platform from proposal to production: aligned with founders on use cases and KPIs, and built systems that now handle 2,200+ messages per day (~800,000+ messages per year) within strict response-time targets.
Cut manual review and “clean-up” work by 60%+, shrinking escalations and reducing risk in sensitive customer workflows.
Reduced overall AI processing costs by ~47% while improving quality, contributing to a projected $1,000,000+ in long-term productivity and cost-avoidance value as usage scales.
Built dashboards and alerting so leadership can monitor volume, quality, risk, and spend in real time, enabling faster, data-driven decisions on where to invest or tighten controls.
Shaped a secure, multi-tenant design that supports onboarding multiple B2B customers with strict access and guardrails, positioning the platform

AI systemsautomationdata analysismachine learningnatural language processingAI Systems+1

Quasero

Data Scientist(AI)

Dec 2023 – Nov 2024 · 11 mos · Dallas, Texas, United States · On-site

Worked for Salesforce as my Client
Connected key internal systems into a unified data and AI layer, cutting manual data entry and reporting by around 50% and freeing 2,000+ hours of analyst and operations time annually.
Automated a critical metadata process, increasing speed by 75% and reducing errors by 90%, improving reliability of reports and AI outputs used to steer $1,000,000+ decisions.
Improved data pipeline efficiency by 30%, ensuring AI copilots and dashboards worked on fresher, more accurate data and reducing the risk of costly misinformed decisions.
Designed and deployed AI-driven assistants that improved contextual relevance of answers by ~35%, cutting ad-hoc analysis effort by an estimated 20–30% and scaling support to hundreds of internal users.
Built a smart routing engine so each user query went to the right AI or analytics capability, reducing noise and contributing to a high six- to low seven-figure productivity impact over time.

data integrationAI assistantsdata pipeline efficiencyData IntegrationAI Systems

Amity tech corporation

AI Engineer – Conversational Systems

Sep 2023 – Dec 2023 · 3 mos · Frisco, Texas, United States · On-site

Delivered an AI-powered support assistant that cut client response times by 40% and raised satisfaction scores by 35%, improving customer experience without adding headcount.
Reduced support ticket resolution time by 50%, saving the team 40–60 hours per week at scale and creating capacity for higher-value client work.
Made knowledge search more effective, boosting efficiency by 25–35% for both the AI assistant and human agents and extending the value of existing support content across hundreds of tickets.

AI-powered support assistantcustomer experienceticket resolutionAI SystemsCustomer Experience

University of north texas

Graduate Instructor – AI, Data & Statistics

Aug 2022 – Sep 2023 · 1 yr 1 mo · Denton, Texas, United States · On-site

Built and delivered an AI, data, and statistics curriculum for 200+ students, creating a consistent baseline of data literacy similar to an internal training program for an engineering org; average grades improved by ~15%.
Led an applied machine learning capstone on wildfire prediction, from problem definition through data strategy, model design, evaluation, and delivery—improving next-day prediction accuracy by ~20% and mirroring a full end-to-end product cycle.
Standardized geospatial data-processing workflows and lab practices, increasing execution efficiency by ~25% and freeing dozens of instructor hours per semester, the same way a CTO would streamline engineering processes.
Acted as a force multiplier for the AI talent pipeline, mentoring students on project hygiene, experimentation, and communication—feeding hundreds of future engineers and data scientists into industry and research roles

curriculum developmentapplied machine learningdata literacyEducationMachine Learning

Honeywell

Site Reliability Engineer

Jan 2022 – Jul 2022 · 6 mos · Bengaluru, Karnataka, India · Remote

Reliability Engineer Intern - Honeywell, India Jan 2022 – Jul 2022
Built JavaScript-based RAG web apps for intelligent, conversational data interactions, enhancing user engagement by 35%.
Developed retriever engines and query processing systems, improving processing speed by 25%.
Created production-ready systems with advanced querying features, enabling real-time interactions and scalability.
Integrated data persistence and conversational memory features, improving performance and data accuracy.
Environment: JavaScript (ES6+), Node.js, Express.js, React.js, LangChain.js/RAG frameworks, Elasticsearch / OpenSearch (vector retrieval), Redis (conversation memory), Docker, Kubernetes, Git & CI/CD pipelines.

JavaScriptNode.jsReact.jsWeb DevelopmentSite Reliability

Amrita vishwa vidyapeetham

Lab Instructor (Computer Science & Engineering)

Jun 2018 – Dec 2021 · 3 yrs 6 mos · Coimbatore, Tamil Nadu, India · On-site

Supported core CS education (C, Python, data structures, algorithms, computational thinking) for 100+ students per year, effectively operating as an internal “academy” to ramp junior engineers at scale.
Raised student assessment scores by ~20% by designing structured lab systems, templates, and step-by-step guides—early proof of your ability to codify knowledge into repeatable playbooks, a key CTO skill.
Ran hands-on workshops in Scratch and Flogarithm that boosted engagement and programming confidence by ~30%, expanding the top of the funnel for future AI and engineering talent.
Standardized lab materials and support processes, saving 50–100+ faculty hours per year and showing a track record of creating leverage and operational efficiency long before stepping into formal leadership roles.

computer science educationprogrammingworkshop facilitationEducationComputer Science