Harshith Sai Surendra

Harshith Sai Vardhan Reddy Surendra

Education

Athens, GA

Bachelor of Business Administration; Concentration in Management

Expected May 2026

HOPE Scholarship · National President's List · Presidential Volunteer Award
Prior coursework completed at Georgia State University, J. Mack Robinson College of Business

Atlanta, GA

Entrepreneurship Accelerator and Venture-Backed Founder (2 startups)

January 2026 – Present

Selected into GT's flagship startup program (top 10% acceptance rate) with weekly mentorship from venture coaches

Atlanta, GA

Co-Founder | Built within Georgia Tech CREATE-X Startup Launch

Jan 2026 – Present

Building enterprise platform providing real-time monitoring, cost attribution, and governance for autonomous AI agent fleets; targeting VP-level platform engineering buyers at banks, fintechs, and enterprise tech firms.
Refined product-market fit through continuous customer discovery and competitive analysis across TAM, unit economics, and positioning; currently onboarding pilot customers for free-tier testing and structured feedback.
Modeled unit economics and pricing scenarios for usage-based SaaS revenue across enterprise tiers; built 3-statement financial projections and investor-ready KPI dashboard to support active fundraising conversations with institutional investors.
Led technical product specification (Go/GCP, PostgreSQL, Python SDK, React) and shipped production landing page in Next.js 14 with complete Tailwind design system.

Atlanta, GA

Co-Founder & CFO | Built before Georgia Tech CREATE-X Startup Launch

May 2025 – Dec 2025

Developed a membership-based marketplace model challenging per-ride commission structures of Uber/Lyft; earned acceptance into CREATE-X to receive seed capital and professional venture resources.
Built an 8-month financial model (3-statement + unit economics) with rider/driver segmentation and take-rate scenarios; sensitivity analysis modeled projected CAC reduction and improved driver retention relative to incumbent pricing structures.
Designed a fare strategy ~5% below incumbents while protecting driver earnings; built CAC/LTV payback framework in an investor-ready dashboard modeling projected YoY revenue growth across funding scenarios.

Irving, TX

Investment Summer Analyst

May 2025 – Aug 2025

Supported Series A due diligence for Docyt, an AI-powered accounting automation platform; built DCF valuation model, analyzed financial viability, and assessed strategic synergies to inform investment sizing and terms.
Sourced early-stage SaaS and FinTech deals through market sizing and competitive analysis; automated data-driven pipeline reports visualizing deal-level KPIs across 20+ active opportunities.

Atlanta, GA

Consulting Intern

Sep 2023 – May 2024

Performed P&L analysis across operations and vendor-related cost centers, supporting oversight of $500K in departmental budgets; identified inefficiencies in vendor spend and workflow processes, contributing to $37K in annual cost savings.
Identified process inefficiencies across project workflows through structured cost-driver analysis; developed recommendations that reduced operational lag and improved resource utilization across key departments.

June 2024 – Present

Engineered a long/short equity strategy leveraging large language models to extract sentiment signals from 10-K filings and SEC disclosures; constructed thematic factors including supply chain risk and executive tone to model impacts on equity returns and volatility. Conducted a 15-month backtest on QuantConnect, benchmarking against the S&P 500, achieving ~8% excess return with a Sharpe Ratio of 1.25 and controlled drawdowns.

Sep 2025 – Present

Architected platform integrating Stripe and QuickBooks APIs for unified payroll, tax-filing, and financial record-keeping; built AI Copilot enabling natural language execution of complex financial and HR operations.

Oct 2024 – Dec 2024

Built FinTech application using Plaid API to aggregate multi-account transaction data; developed rules engine for transaction categorization and recommendation algorithm to optimize credit card rewards across spending categories.

Technical Skills:: Python (pandas, NumPy, scikit-learn), R, SQL, JavaScript, TypeScript, Java, C++, Excel (Regression, PivotTables), Tableau, Power BI, AWS, Microsoft Azure, Git, Next.js, React
Financial Skills:: 3-Statement Modeling, DCF, Comparable Company Analysis, LBO Fundamentals, Sensitivity Analysis, Unit Economics, Due Diligence, Investment Thesis Development, Portfolio Theory (CAPM, Sharpe Ratio, Alpha/Beta)
Activities:: UGA Finance Society, Athens Student Investor's Club, GT Startup Exchange, Hindu YUVA, Entrepreneurship Society
Interests:: Basketball, League of Legends, Soccer, Gym, Hip-Hop, History, Math