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Krishnatejaswi S

AI Engineer · Production LLM Systems · Agentic Workflows · Future Standard · Bangalore


About

I build production AI systems end-to-end — from database to infra to deployed LLM pipelines. My focus is agentic systems that hold up in production: memory architectures, RAG over hard domains, evals, and orchestration.

Currently Analyst — AI & Agent Systems at Future Standard, designing agentic memory architectures and building agent systems for operations and process intelligence — orchestration (LangGraph/LiteLLM), backend APIs, evaluation pipelines, and production deployment.

Previously at OnFinance AI, where I built ComplianceOS end-to-end (DB → backend → cloud → LLM pipelines) for BFSI compliance automation — production RAG over financial regulations with versioned embeddings and citation grounding, LangGraph + LiteLLM agentic workflows processing 1B+ tokens/month, cutting compliance effort by 1,500+ hours/year. Ex-RingCentral (SDE intern — Angular → React modernization, 3x faster load times, 95% test coverage).

  • BE in Computer Science @ RV College of Engineering, Bangalore · former President, Coding Club RVCE
  • Contributor to maximhq/bifrost (3.4k★) — fixed streaming correctness bugs in the AWS Bedrock provider
  • Working across the LLM stack: agentic workflows (LangGraph), RAG pipelines (ChromaDB, Ollama), multi-model evaluation, TTS, image/video generation
  • Interested in agent memory, LLM infrastructure, distributed systems, and developer tooling

Open Source

maximhq/bifrost — Enterprise AI Gateway · 3.4k★ · Go · ~11µs overhead at 5,000 RPS · 20+ LLM providers

PR Description
#2427 Fixed Bedrock streaming silently ignoring max_retries — transport errors (*net.OpError, io.ErrUnexpectedEOF, *net.DNSError) routed through wrong error path, bypassing retry gate; added isStreamTransportError() helper across 4 sites + 3 regression tests
#1830 Fixed concurrent tool call delta loss — deltas routed by recency instead of tool_call.id, causing parallel call arguments to merge; fix applied to both Chat Completions and Responses API streaming paths

Projects

Project Description Stack
faceless-gen Local-only AI video studio — research doc in, MP4 out. 5-step editorial wizard (angles → story → scenes → music → generate). Stickman style via ComfyUI + Wan 2.2 I2V. 218 tests passing.
graph-rca Log-to-resolution RAG over 200 annotated real-world incidents — LLM builds causal DAGs, ChromaDB (HNSW) retrieves runbook context, output quality validated by a 3-model judge ensemble (Qwen3:32b, GPT-4o-mini, Llama-3.1-70B) across 9 reproducible experiment scripts; GPU-accelerated, includes React frontend
permission-mongo RBAC-powered BaaS for MongoDB targeting 50K+ QPS — AST-caching policy compiler, lock-free router, fasthttp, Prometheus + Grafana dashboard, Python SDK
better_bing_image_downloader Maintained Python library · 18K+ PyPI downloads · 41★ · v3.0.0 fixed thread-safety, atomic writes, MD5 dedup; test suite grew 0 → 41 tests
snapshell CLI tool to learn Linux commands interactively
toy-compiler Full-pipeline compiler (lexer → parser → codegen) for a subset C-like language

Stack

Languages

Backend & Messaging

LLM & AI Tooling

Infra & Observability

Databases


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