Agentic AI Engineer
Ex Strategic Manager / Founder

• 🔭 Current focus: Agentic AI, agents & tool-use, retrieval, evals & safety
• 🧠 Research interests: Reasoning models, reward modeling, offline/online RL, policy gradients, bandits
• ⚙️ Practical: scalable serving (FastAPI/Django), monitoring, experiment tracking

• Led projects end-to-end: from strategy & roadmap → MVP → production.
• Bridging research ↔ product: clean APIs, reproducible training, measurable impact.
• Comfortable with metrics, defines objectives and tracks results(OKRs), and stakeholder alignment.

• Teronizer: lightweight TRON (TRC-20) payments API — micropayments, webhooks, 24/7 settlement, no chargebacks.

Python . Numpy . Pandas . Pytorch . JAX . Flax

Hugging Face . Langchain . OpenAI . Groq . Agno

FastAPI . Django . PostgreSQL . MongoDB . Redis

Git . Docker . Kubernetes . nignx

• Task-specific evals (accuracy/latency/cost), adversarial prompts, regression suites
• Data governance & prompt hygiene; red-team playbooks

My background in strategic management & project management helps me:

• define crisp north-stars, roadmap experiments, de-risk unknowns
• communicate with stakeholders and ship on time

• agent systems, scalable inference, RLHF/RLAIF pipelines & monitoring