What I liked the most was the way everything was explained in a clear and structured manner. The roadmap was easy to follow, and each technology was introduced with practical explanations, making it simple to understand what to learn, why it matters, and how everything connects. It gave me a clear direction and confidence on what to focus on next.
Hi!
This is Anmol Kumar, working as a 𝗠𝗲𝗺𝗯𝗲𝗿 𝗼𝗳 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗦𝘁𝗮𝗳𝗳 (𝗔𝗜 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿) 𝗮𝘁 𝗦𝗮𝗹𝗲𝘀𝗳𝗼𝗿𝗰𝗲. I started out at 𝗕𝗠𝗖 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 and now build production 𝗔𝗜 𝗮𝗻𝗱 𝗮𝗴𝗲𝗻𝘁𝗶𝗰 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 for enterprise products serving Fortune 500 mainframe customers.
With 4+ years of experience, I work hands-on across the full AI lifecycle: 𝗺𝘂𝗹𝘁𝗶-𝗮𝗴𝗲𝗻𝘁 𝗼𝗿𝗰𝗵𝗲𝘀𝘁𝗿𝗮𝘁𝗶𝗼𝗻, retrieval-augmented generation (RAG), SFT and LoRA/QLoRA fine-tuning of sub-3B models, LLM-as-judge evaluation with human calibration, and on-prem deployment with quantization for air-gapped environments. My engineering foundation is in 𝗣𝘆𝘁𝗵𝗼𝗻 (𝗮𝘀𝘆𝗻𝗰𝗶𝗼), 𝗙𝗮𝘀𝘁𝗔𝗣𝗜, 𝗣𝗼𝘀𝘁𝗴𝗿𝗲𝗦𝗤𝗟, and 𝗱𝗶𝘀𝘁𝗿𝗶𝗯𝘂𝘁𝗲𝗱 𝘀𝘆𝘀𝘁𝗲𝗺𝘀.
I can help you with:
- Breaking into AI/ML engineering roles and transitioning from SDE to AI
- Reviewing your resume and portfolio for AI/ML positions
- Designing and building real LLM, RAG, and agentic AI projects
- Fine-tuning, evaluation, and on-prem/air-gapped deployment guidance
- Mock interviews for AI engineering and software roles
- Any doubts on AI engineering, system design, distributed systems, Python, or your career path
Anmol Kumar excels in providing clear, structured guidance, making complex topics accessible and boosting learners' confidence.
AI-generated based on testimonials