Hi — I'm Pramod Barkade.
AI Engineer with 10+ years shipping production AI.
I design, build, and deploy production AI systems: LLMs, RAG architectures, MLOps pipelines, and responsible AI. I mentor learners to ship real projects. Based in India.
About Me
Who I Am: I'm an AI Engineer and Educator with 10+ years of hands-on experience building production systems at scale. My journey started in full-stack development, evolved through backend engineering and MLOps, and now focuses on Generative AI and responsible machine learning practices. I help organizations move from AI prototypes to production systems, and mentor engineers to build thriving careers in AI and MLOps.
My Journey: I started coding because I wanted to build things that matter. Over the years, I realized that code alone isn't enough—systems fail when they lack design, monitoring, and ethical consideration. This led me to MLOps and eventually Generative AI. What fascinated me wasn't just the technical capabilities of LLMs, but how to deploy them responsibly, scale them reliably, and help others build with confidence.
Why I Teach: I've mentored 150+ engineers not because it's a credential, but because I remember being stuck. I remember the frustration of incomplete documentation, the confusion of choosing between 10 similar tools, the anxiety of deploying to production for the first time. Teaching gives me the chance to smooth that path for others—to provide the guidance I wish I had.
LLMs, Generative AI, RAG systems, Vector databases, MLOps, Prompt engineering, Model evaluation, System design, Scaling AI workloads.
1:1 mentorship, workshops, hands-on projects, code reviews, interview preparation, corporate training, portfolio guidance.
Practical learning, code reproducibility, ethics-first, knowledge sharing, continuous innovation, community impact.
Why Work With Me?
- Production-Focused: Every project, every mentor session is grounded in real-world challenges and constraints
- Hands-On Approach: Not just theory — we build deployed systems with measurable, actual impact
- Career Acceleration: Structured guidance to go from learner to professional AI engineer with confidence
- Ethical AI: Every solution considers fairness, bias, safety, and responsible innovation by design
- Proven Track Record: 150+ professionals mentored, 25+ production AI systems deployed, 50+ engineers guided into industry roles
Explore More About My Journey
Want to dive deeper? Explore detailed information about my background, learning philosophy, technical stack, and curated resources.
📖 Full Biography
Comprehensive career timeline, professional experience, certifications, and my complete journey in tech.
🎓 Learning Journey
How I learn, teaching philosophy, growth mindset, and the principles that drive continuous improvement.
🛠️ Tech Stack
30+ frameworks, tools, and platforms I work with. AI/ML, MLOps, vector DBs, monitoring, and emerging tech.
📚 Resources
Curated learning materials: books, courses, research papers, communities, and tools that shaped my knowledge.
Services & Consulting
Generative AI Consulting
Architecture design, LLM selection, RAG systems, prompt optimization, model evaluation frameworks, cost optimization, safety & bias mitigation.
→ Production-ready AI solutions
MLOps & Engineering
Pipeline design, CI/CD for ML, model deployment, monitoring & governance, infrastructure, cost reduction, scalability solutions.
→ Reliable, scalable systems
1:1 Mentorship & Training
Custom guidance, technical deep-dives, project mentorship, career direction, portfolio building, interview prep, workshops.
→ Accelerated career growth
Additional Services
- Code Reviews — Improve quality and best practices
- System Design — Scale AI workloads efficiently
- Team Training — Upskill your organization
- Architecture Advisory — Strategic guidance on AI stack
- Corporate Workshops — Industry-specific training
- Proof of Concept — Validate AI solutions
- Technical Assessment — Evaluate AI readiness
- Ethics & Compliance — Responsible AI practices
Projects & Impact
Here are key projects that demonstrate expertise in production AI, MLOps, and scalable systems:
Multimodal AI Assistant
Large-scale conversational AI supporting speech + text. Implemented RAG architecture with vector databases. Served 500+ concurrent users with sub-second latency.
Enterprise Conversational Platform
Multi-turn assistant with advanced routing, fallback mechanisms, safety guardrails. Integrated with ticketing systems. Drift monitoring and continuous learning.
ML Deployment & Governance Platform
End-to-end MLOps platform with A/B testing, canary rollouts, model versioning, feature flags, and governance. 70% faster deployments.
Open-Source LLM & AI Toolkit
Reproducible notebooks, best practices guides, benchmark suites. Active community with 2000+ GitHub stars. Educational resource for researchers and engineers.
Adaptive Learning & Recommendation System
Personalized learning paths using ML-based recommendation. Real-time progress tracking, adaptive difficulty, engagement analytics.
Cost-Optimized ML Inference Engine
Advanced optimization: mixed-precision, dynamic batching, request caching, model routing. 60% cost reduction while maintaining SLAs.
📝 Latest Articles
Technical deep-dives on Generative AI, LLMs, RAG, and MLOps
Production LLM Systems
Learn patterns for deploying LLMs at scale. Cost optimization, monitoring, and handling hallucinations.
RAG Systems Explained
Master retrieval-augmented generation. Vector databases, embeddings, and building intelligent systems.
MLOps Foundations
Build production ML pipelines. CI/CD, experiment tracking, monitoring, and continuous improvement.
Reviews & Testimonials
Learn More About Me
Explore detailed information about my background, learning philosophy, and resources:
📖 Full Biography
Career path, experience, credentials, and professional background
🎓 Learning Journey
How I learn, teaching philosophy, goals, and growth mindset
🛠️ Tech Stack
30+ frameworks, tools, and platforms I use and recommend
📚 Resources
Learning materials, books, courses, and communities
Credentials & Impact
Recognized credentials and impact metrics. Explore detailed information on my full biography page.
💼 Professional Evolution
- Recognized thought leader in responsible AI
- Advisory roles with major tech organizations
- Research published in top-tier venues
- Community-driven platform at scale
- Influence on AI policy and standards
⚡ How We Get There: Key Focus Areas
Strong, inclusive community of AI practitioners sharing knowledge and supporting growth.
Accessible, practical, and comprehensive learning resources from basics to advanced.
Push boundaries in AI, contribute to research, advance the field responsibly.