Company-by-company: scope, constraints, and outcomes. Projects live separately so you can scan artifacts quickly.
Building ComplianceOS: compliance automation workflows + agentic analysis over large regulatory corpora.
Modernized legacy interfaces and improved app performance through targeted frontend and integration work.
Each project is framed as a short case study: the problem, the approach, and the impact. If a metric isn’t available, I’m explicit about what changed.
A portfolio that communicates my backend + LLM tooling work with a clear narrative and a distinct visual system.
Python library + CLI to download Bing images at scale for dataset creation.
Backtesting + analytics toolkit with LLM-assisted workflows for exploration and reporting.
Prototype board for students using an LPC2148 (ARM7) with low-level drivers in Embedded C and Assembly.
Research on fusing CNN models for multi-class lung disease classification.
Handwritten trip-sheet OCR pipeline (EasyOCR + regex post-processing).
Study on how image filters impact CT/X-ray lung classification models.
I care about systems that are easy to reason about: clear contracts, predictable performance, and observability that tells the truth.
I am an AI and Fullstack Engineer at OnFinance AI, where I architect ComplianceOS—a platform delivering 1250+ hours/year savings on BFSI compliance automation. I specialize in engineering Agentic workflows using LangGraph and LiteLLM to handle millions of tokens of regulatory data efficiently.
Previously, as an SDE Intern at RingCentral, I led the modernization of legacy interfaces to React and optimized application performance by 3x. My focus is on creating high-impact, scalable AI solutions for complex domains like fintech and compliance.
A curated core set, plus a wider toolbox depending on the problem.
JavaScript
C++
TypeScript
React
Next.js
Qdrant
MongoDB
MySQL
Git
Embedded CI'm always open to discussing new projects, AI innovations, or technical opportunities. Feel free to reach out via email or any of my social nodes.
If you prefer email, use the address on the left.
Krishna Tejaswi Shenthar
Python-first engineer focused on reliable APIs, distributed workflows, and pragmatic LLM tooling (RAG, evals, orchestration).
Building ComplianceOS at OnFinance AI (fintech compliance automation).
