AI Engineer • Lead Architect @ IRIS • Specializing in LLMOps, High-Performance RAG & Agentic Workflows (LangGraph/Kubernetes)

Pune District, Maharashtra, India

Pune District, Maharashtra, India







Bachelor of Engineering - BE, Information Technology
Savitribai Phule Pune University (SPPU)
Join Ashwin and 10k+ other professionals on
Tal is the app where bosses meet engineers & builders directly, without middlemen
Download Tal BossAI Engineer • Lead Architect @ IRIS • Specializing in LLMOps, High-Performance RAG & Agentic Workflows (LangGraph/Kubernetes)
/ AI Engineer building production Generative AI, LLM, RAG, Agentic AI and AI Platform systems. / At Sylox, I build IRIS, working across multi-stage AI detection, LangGraph workflows, cloud integrations, secure multi-tenancy, FastAPI/PostgreSQL and production reliability. / Built Cerevra, a deterministic RAG engine with crash recovery and namespace isolation -- sub-50ms p99 retrieval at 500+ QPS, backed by 2,000+ resilience and chaos tests. / Previously built production legal-tech RAG with hybrid retrieval, reranking and matter-level isolation. Also shipped 11 merged open-source PRs across 7 projects, including Unsloth, VictoriaMetrics and Prefect. / Python • FastAPI • LangGraph • RAG • LLMOps • pgvector • PyTorch • Kubernetes • Kafka :: I build AI systems that are reliable, secure and boring in production.
Pune District
antigravity
claude code
codex
notebooklm
ollama
Pinecone
AI Engineer at Sylox, Feb 2026 - Present · 7 mos, Pune District, Maharashtra, India, \ Architected the core of IRIS, a multi-tenant DSPM platform, shipping 44 FastAPI routers and 400+ async REST endpoints across an 11-schema Postgres backend. \ Optimized backend performance for production scale, sustaining p95 latency under 500ms at 80-concurrency autoscale across 1M+ records. \ Engineered a 7-stage LangGraph pipeline for India-specific PII discovery using Presidio, spaCy NER, Claude-based verification, and custom validators, improving detection accuracy by 18%. \ Built 105 enterprise-grade cloud and data-source connectors, including SAP HANA, Snowflake, and Databricks, for large-scale unstructured data ingestion and classification. \ Designed hybrid RAG infrastructure using pgvector and full-text search, functioning as an Azure AI Search-style retrieval layer for compliance-focused conversational agents. \ Hardened platform security with OIDC/OAuth2, SCIM 2.0, per-endpoint RBAC, and cross-tenant isolation for DPDP Act 2025 compliance. \ Owned CI/CD on GCP Cloud Build with 30-gate verification, 161 idempotent Alembic migrations, and 80–90% diff coverage.
AI Engineer at LOPHILS INC., Jun 2025 - Jan 2026 · 7 mo, Pune District, Maharashtra, India, \ Built and shipped a production Retrieval-Augmented Generation system with strict matter-level namespace isolation to prevent cross-case retrieval. \ Designed scalable ingestion pipelines with SHA-256 deduplication, rich metadata extraction, and 1GB+ large-file streaming support. \ Implemented Pinecone-based vector search using 1024-dimensional embeddings and query-side routing for deterministic retrieval. \ Developed an admin panel for namespace lifecycle management, including create, monitor, and delete workflows. \ Deployed end-to-end AI infrastructure without breaking existing n8n automation workflows.
Bachelor of Engineering - BE, Information Technology, Savitribai Phule Pune University (SPPU)
github: https://github.com/wtfashwin
medium: https://medium.com/@wtfashwin
leetcode: https://leetcode.com/wtfashwin
codeforces: https://codeforces.com/profile/wtfashwin
youtube.com: https://youtube.com/@wtfashwin
wtfashwin.github.io: https://wtfashwin.github.io/Portfolio/