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My Resume

A summary of my experience, skills, and projects.

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Anurag Kotha

Chief Technology Officer | AI & Systems Architect | LLM & RAG Specialist   Hyderabad, Telangana, India   LinkedIn | GitHub | Email

Summary

ROI-focused Technology Leader with over a decade of experience in AI, Quantitative Finance, and Scalable Systems. I specialize in applying rigorous "financial-grade" validation to Generative AI, transforming experimental models into reliable, production-ready business tools.

As CTO of VersaQuant, I architected systems that reduced infrastructure costs by 50% while scaling engineering teams. Recently, I have integrated "Agentic" development in my workflows, utilizing AI agents to accelerate coding velocity and build complex multi-modal products like Profiler (Dynaprice), which directly revitalized revenue streams. I thrive at the intersection of technical architecture and business strategy.

Experience

Dynaprice – New York (Remote)

AI & Engineering Consultant (via VersaQuant)   Feb 2025 – Present

Served as the de facto Head of AI/Engineering, driving digital transformation and product strategy.

  • Built "Profiler" (Revenue Engine): Architected and deployed a multi-modal AI system (React/Next.js/Python) that ingests images, voice, and text to autonomously generate structured equipment listings.
    • Impact: Solved a client acquisition drought, securing 4 new enterprise clients immediately upon demo.
    • Projected Value: Estimated $100K+ annual revenue uplift via cross-selling and streamlined onboarding.
  • Agentic Development: Orchestrated AI agents to generate ~90% of the codebase based on my architectural PRDs, demonstrating a high-velocity "Architect-First" workflow.
  • Operational Efficiency: Reduced listing creation time from days to < 2 min, enabling factory-floor workers to digitize inventory via voice commands.

VersaQuant Inc. – Hyderabad, India

Chief Technology Officer   May 2023 – Present

Led the transition from legacy financial tech to a modern, AI-driven stack.

  • Architected "aiqsaas" (Cost Optimization): Built a custom API layer using Docker Swarm, Python (FastAPI), and WebSockets to replace expensive MATLAB dependencies.
    • Impact: Eliminated $50K+ in annual licensing fees and reduced cloud compute costs by 40-50%, extending company runway by 6+ months.
  • Developed "AskAlpha" (Early AI Innovation): Implemented RAG and Tool Calling manually within a MATLAB environment (pre-standard libraries) to create a financial decision-making chatbot.
  • Team Leadership: As Employee #1, hired and scaled the engineering team to 15 members. Managed the full team lifecycle, optimizing structure and workflows amidst changing funding landscapes.

Chief Architect   Nov 2019 – May 2023

  • Led architecture of AI-powered financial tools, migrating legacy systems to scalable cloud infrastructure.
  • Built market prediction engines and high-frequency trading analytics, reducing system latency by 50%+.

Lead Quant   Aug 2017 – Nov 2019

  • Developed live and backtesting engines for algorithmic trading simulations.

Forte Aegis – Chicago, IL / Remote

Chief Architect   Apr 2018 – Present

  • Built AI research tools for options market intelligence, scaling analytics software from MVP to production-grade systems.
  • Designed real-time data pipelines for processing high-volume financial indicators.

Twin Disc – Racine, WI, USA

Sr. Control Systems Engineer   Aug 2015 – Aug 2017

  • Led predictive analytics for marine systems, enhancing automation and navigation safety.
  • Developed autopilot and propulsion algorithms utilizing neural networks and PID controls.

MATLAB Developer (Control Systems)   Jan 2014 – Aug 2015

  • Built predictive control systems and motion simulators, integrating real-time vessel estimation algorithms.

Selected R&D Projects

LexAI (Legal Tech Innovation)   Current R&D Initiative

  • Developing a high-fidelity Legal AI Assistant for the Indian market (BNS/BNSS/BSA acts).
  • Tech Stack: Advanced RAG, Voyage AI (Embeddings), Zilliz (Vector DB), OpenRouter.
  • Innovation: Testing zero-error retrieval architectures to solve LLM hallucinations in high-stakes domains. Demoed to high-net-worth legal professionals, generating investor interest.

Education

Illinois Institute of Technology, Chicago, IL, USA

  • MS in Mechanical & Aerospace Engineering (2011 – 2013)
  • BS in Mechanical & Aeronautical Engineering (2007 – 2011)

Technical Skills

  • AI & Agentic Tech: LLMs, Advanced RAG, DSPy (Prompt Optimization), Pydantic AI, Tool Use/Function Calling, Voyage AI, Zilliz.
  • Core Stack: Python, MATLAB, Docker Swarm, Kubernetes, FastAPI, Go (Golang).
  • Web & Frontend: React, Next.js, Express.js, TailwindCSS (Orchestrated via Agentic Workflows).
  • Cloud & DevOps: AWS (EC2, S3, LightSail), GitHub Actions, CI/CD, DVC.
  • Domain Expertise: Quantitative Finance, Control Systems, Legal Tech (RAG).

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