Anurag Kotha

Chief Technology Officer | AI & Systems Architect | LLM & RAG Specialist

Hyderabad, Telangana, India

LinkedIn | GitHub | Email

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Summary

ROI-focused Technology Leader with 12+ years 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.

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Experience

Dynaprice – New York (Remote)

Head of AI | Feb 2026 – Present Taking a more active role in company-level AI applications, driving digital transformation and product strategy.

• Built "Profiler" (Revenue Engine): Architected and deployed a multi-modal AI system (React/Next.js/Python/MongoDB) 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.

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External Consultant | Feb 2025 – Feb 2026 Worked as external consultant for Dynaprice, providing strategic AI and technical guidance.

• Provided strategic consulting on AI implementation and digital transformation initiatives.
• Advised on technical architecture and product development roadmap.

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VersaQuant Inc. – Hyderabad, India

Chief Technology Officer | May 2023 – Nov 2025 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), MongoDB, 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.

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Chief Architect | Nov 2019 – May 2023

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

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Lead Quant | Aug 2017 – Nov 2019

• Developed live and backtesting engines for algorithmic trading simulations.

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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.

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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.

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MATLAB Developer (Control Systems) | Jan 2014 – Aug 2015

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

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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.

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Education

Illinois Institute of Technology, Chicago, IL, USA

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

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Technical Skills

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