Applied AI Engineer · IST (UTC+5:30) · Open to remote roles
AI Engineer with 2+ years building and deploying production AI/ML systems — LLM fine-tuning, RAG, agentic pipelines, and model evaluation. Track record optimizing model quality, latency, and inference cost at scale, backed by open-source contributions to major AI/ML repositories. Focused on turning research techniques into reliable, reusable AI infrastructure.
- AI/ML: LLMs, Transformers, RAG, Fine-Tuning, LoRA, Quantization, Embeddings, NLP, Computer Vision, VLMs, Prompt Engineering, AI Agents
- Languages: Python, TypeScript, Go
- Cloud & DevOps: AWS, Kubernetes, Docker, Terraform, GitHub Actions, Linux
- Frameworks & Tools: PostgreSQL, SQLAlchemy, Redis, Git
- Web3/Blockchain: Solidity, Foundry, Hardhat, EIP-712, UUPS Upgradeable Proxies, Gnosis Safe, The Graph, Cross-Chain Messaging (CCTP), Gas Optimization
Applied AI Engineer, Syvora — July 2025 – Present
- Developed document-processing workflows combining OCR, VLM inference, validation, and structured extraction, reducing manual processing time by 80%.
- Built AI services integrating LLMs, RAG, PostgreSQL, Redis, and REST APIs, handling 100K+ requests/day across production workflows.
- Implemented model routing, caching, batching, and provider fallbacks, reducing AI infrastructure costs by 61% while maintaining 95%+ task success.
- Deployed AI workloads on Kubernetes, implementing GPU scheduling, autoscaling, health checks, rolling deployments, and model version management.
Protocol Engineer, NDA — Jun 2024 – May 2025
- Implemented defense-in-depth for LLM applications using prompt-injection detection, retrieval isolation, tool authorization, output validation, and policy checks.
- Architected Polymarket-style prediction exchange contracts with deterministic order matching, invariant-safe execution, and settlement state machines sustaining 10k+ daily on-chain trades in production.
- Authored 300+ Foundry fuzz and invariant tests covering adversarial execution paths including duplicate messages and partial settlement, achieving 97% branch coverage on core protocol contracts.
- Built cross-chain USDC settlement infrastructure processing 500k+ messages with domain-separated replay protection and invariant-safe execution, sustaining zero failed settlements across all integrated chains.
Auto-updated by a scheduled GitHub Action — see workflow.
- [temporalio/ai-integrations] Support resuming RunState inside workflows — merged
- [ComposioHQ/composio] feat(anthropic): add prompt-caching support to the Python provider — merged
- [ComposioHQ/composio] feat(openai-agents): add strict-mode support to the Python provider — merged
- [docling-project/docling] fix(md): keep Markdown content intact around HTML blocks — open
- [temporalio/ai-integrations] Return invalid tool arguments to the model instead of failing the workflow — open
- [mlflow/mlflow] Add presigned upload URL support for GCS and Azure Blob artifact repos — open
Last updated 2026-10-15 10:45 UTC.
The Curious Crunch — an ongoing technical blog series reverse-engineering the system infrastructure behind Web3, AI, and DevOps.
Acropolis Institute of Technology & Research — B.Tech, Computer Science