Naresh Matta
AI Delivery Manager • AI Program Architect • Founder, SkillWisor & Cognivexta
Bangalore, India • 15+ Years in AI, Data & Delivery Leadership
Who I Am
I’m Naresh Matta, an AI Delivery Manager and program architect with over 15 years of hands-on experience building, managing, and scaling AI and data operations programs for some of the world’s most demanding technology companies.
I currently lead a large-scale enterprise AI account at Qualitest, managing AI programs for Google — one of the world’s largest AI organizations. My teams span data annotation, prompt engineering, agentic AI systems, and quality assurance for production LLM pipelines. Previously, at Concentrix, I led delivery operations for clients including Apple and OnePlus across multiple geographies.
Beyond my corporate role, I am the Founder and CEO of Cognivexta, an AI consulting company specializing in turning enterprise workflows into agentic AI systems for global clients. I also founded SkillWisor, this platform, where I publish educational content on AI engineering, career growth, coding, and financial literacy.
My Professional Background
- Current: AI Delivery Manager, Qualitest India — Managing enterprise AI programs for Google (Aug 2022–Present)
- Previous: Senior Delivery Manager, Concentrix India — Apple, OnePlus accounts (Apr 2012–Aug 2022)
- Founder & CEO: Cognivexta — AI consulting, agentic workflow systems
- Founder: SkillWisor — AI and career education platform
- Builder: Hackathon projects deployed on GCP: Vyonix Studio (Gemini 3 Hackathon) and Shivy AI / KlassbookAI (Gemini Live Agent Challenge)
- Researcher: Implemented TinyLLM-AttenRes — a from-scratch implementation of the Moonshot AI Attention Residuals paper (arXiv:2603.15031)
Areas of Deep Expertise
- AI Program Management: Leading cross-functional AI delivery programs, LLM evaluation pipelines, and data operations at scale
- Agentic AI Systems: Designing multi-agent architectures using Claude, Gemini, and open-source LLMs with tool-calling, memory, and orchestration layers
- LLM Engineering: Prompt engineering, RAG systems, fine-tuning, semantic caching, token optimization, and model evaluation
- AI Research Implementation: Building research-paper-to-code implementations including custom PyTorch LLM architectures (GQA, Flash Attention, RoPE, KV Cache)
- Data Annotation & Quality: 15+ years designing annotation workflows, inter-annotator agreement frameworks, and quality control systems for NLP and multimodal AI
- Delivery & Leadership: Managing teams of 20+, client relationships with Fortune 10 companies, OKR-driven program execution
What SkillWisor Is About
SkillWisor is where I share everything I know — from practical AI engineering guides and research paper implementations, to career development frameworks, interview preparation, and financial literacy. Every article here is written from direct professional experience, not theory.
The goal is simple: help professionals at every stage grow faster, build smarter, and lead with clarity in the AI era.
- 🤖 AI Engineering & Research — Deep dives into LLMs, agentic systems, RAG, attention mechanisms, and from-scratch implementations
- 📈 Career Guidance — Leadership transitions, management frameworks, and career acceleration strategies
- 🎯 Interview Preparation — Technical and behavioral interview strategies for AI, data, and leadership roles
- 💰 Finance Tips — Practical personal finance, investing fundamentals, and salary negotiation
- 💻 Coding & Python — Practical guides to Python, ML algorithms, and production engineering patterns
Let’s Connect
I’m always open to conversations about AI, career growth, consulting opportunities, or collaborations. You can reach me through the Contact page or connect with me on LinkedIn.
