Hi — I'm Pramod Barkade.
AI Engineer with 10+ years building production AI systems.
I design, build, and deploy production-grade AI systems: LLMs, RAG architectures, MLOps pipelines, and responsible AI solutions. I help organizations and engineers ship real AI 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 transform AI prototypes into production systems and mentor engineers to build successful careers in AI and MLOps.
My Journey: I started coding to build meaningful solutions. Over the years, I learned that great code alone isn't enough—systems need thoughtful design, robust monitoring, and ethical considerations to succeed. This realization led me deeper into MLOps and eventually to Generative AI, where I focus not just on technical capabilities but on responsible deployment, reliable scaling, and empowering others to build with confidence.
Why I Teach: I've mentored 150+ engineers because I remember the challenges of learning—incomplete documentation, tool overload, and the anxiety of first production deployments. Teaching allows me to provide the guidance I wish I'd had, helping others navigate their AI journey with clarity and confidence.
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?
Every project and mentoring session is grounded in real-world challenges, constraints, and production-ready solutions
Not just theory—we build deployed systems with measurable, real-world impact and results
Structured guidance to transition from learner to professional AI engineer with confidence
Every solution considers fairness, bias mitigation, safety, and responsible innovation by design
150+ engineers mentored, 25+ production AI systems deployed, 50+ professionals guided into industry roles with measurable success
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
End-to-end AI solution design: LLM selection and fine-tuning, RAG system architecture, prompt optimization, evaluation frameworks, cost efficiency strategies, and comprehensive safety and bias mitigation.
→ Production-ready AI solutions
MLOps & Engineering
Comprehensive pipeline development, CI/CD integration for ML workflows, scalable model deployment strategies, monitoring and governance frameworks, infrastructure optimization, and cost reduction solutions.
→ Reliable, scalable ML systems
1:1 Mentorship & Training
Personalized guidance tailored to your goals: technical deep-dives, hands-on project mentorship, career planning, portfolio development, interview preparation, and customized team 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 both speech and text input. Implemented RAG architecture with vector databases, achieving sub-second latency while serving 500+ concurrent users with high accuracy.
Enterprise Conversational Platform
Production-grade assistant with intelligent routing, fallback mechanisms, and comprehensive safety guardrails. Integrated with enterprise ticketing systems, featuring drift monitoring and continuous learning capabilities.
ML Deployment & Governance Platform
End-to-end MLOps platform with A/B testing, canary rollouts, comprehensive model versioning, feature flags, and governance workflows. Achieved 70% faster deployment cycles with improved reliability.
Open-Source AI Toolkit
Comprehensive collection of reproducible notebooks, best practices guides, and benchmark suites. Active community with 2,000+ GitHub stars, serving as an educational resource for researchers and practitioners.
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 articles on AI, LLMs, RAG systems, and MLOps best practices
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 & Measurable Impact
Real numbers from production deployments, mentorship programs, and industry impact. Explore detailed information on my full biography page.
Trusted by Engineers & Organizations
Delivering measurable results in AI consulting, MLOps implementation, and professional mentorship across industries
Systems deployed and running in production environments
Responsible AI practices and bias mitigation built-in
Track improvements in cost, performance, and reliability
Ongoing guidance and continuous improvement strategies