I’m a Data & AI Engineer who loves building things that work — reliably, scalably, and with real impact.
Right now, I work as a Site Reliability Engineer – Data Platform at SLB, where I design AI‑powered automation, build agentic workflows, and contribute to the backbone systems that global teams rely on every day.

My long‑term goal is simple:
Build trustworthy, high‑impact AI systems that empower people — not replace them.

• Designed LangGraph-based AI agents that improved data pipeline SLAs to 98% and brought down MTTR by 90% — directly impacting thousands of pipelines.
• Built client-facing text‑to‑SQL onboarding systems that simplify data integrity workflows and reduce manual effort for end-users.

• Developed production-grade ETL pipelines and enterprise data models across HR and manufacturing domains.
• Delivered stakeholder-facing analytical solutions with 60% latency reduction.
• Led validation and testing for large-scale SaaS analytics platforms across Finance & HR.

I’ve always gravitated toward roles that blend engineering with empathy — understanding real problems, mapping workflows, and designing solutions that make someone's life easier.

Built autonomous agentic AI workflows using LangChain + ArangoDB for enterprise engineering automation.

Developed a real-time diagnostic system using integrated data streams and JS-based visualization.

Built an OCR‑driven, on-device robotics perception module optimized for constrained hardware.

These competitions shaped my mindset:
move fast, stay calm, learn aggressively, and always finish with something that works.

• Building reliable GenAI systems that the real world can trust
• Designing agentic workflows that automate the tedious but elevate the human
• Creating tools that genuinely help—whether it’s an end-user, a stakeholder, or an entire org
• The intersection of AI, systems engineering, and product thinking
• Learning new technologies deeply, from kernel programming to evaluation frameworks

I believe great engineering comes from: curiosity + consistency + humility + real-world grounding.

I’m constantly learning and pushing myself into areas where I’m a beginner again:

• Advanced agentic frameworks (LangGraph, OpenAI Agents SDK, CrewAI)
• RAG systems and evaluation strategies
• Kernel programming & performance engineering
• Building AI systems that are ethical, safe, and augment human capability

I aspire to work on problems that matter —
problems that require both rigorous engineering and thoughtful human consideration.

I love contributing to:

• AI tools that make developers’ lives easier
• Open-source systems around reliability, observability, and safety
• High-impact ideas that align with ethical technology and meaningful innovation

My goal on GitHub is to document my journey openly — the wins, the experiments, and the things I’m still figuring out. If anything here resonates, I’d love to connect, collaborate, or just talk ideas.

• LinkedIn: https://linkedin.com/in/hrishikesh-p
• GitHub: https://github.com/HrishikeshP-01

Thanks for stopping by — genuinely.
Here’s to building things that last, help, and inspire. 🚀