Experience

Roles, outcomes, and the systems behind them

Company-by-company: scope, constraints, and outcomes. Projects live separately so you can scan artifacts quickly.

OnFinance AI

Full-time
AI and Fullstack Engineer · Jun 2024 – Present · Bangalore, India

Building ComplianceOS: compliance automation workflows + agentic analysis over large regulatory corpora.

  • Owned end-to-end design and migration of a custom RBAC engine (V1→V5) — expression DSL compilation, field-level restrictions, and async context resolution for multi-tenant row-level access over regulatory documents.
  • Diagnosed and resolved a production OOMKill on a live document parser; root-caused full-document rasterization holding ~4.9 GB RAM, batched processing cut peak memory by 93%, verified and deployed same day.
PythonFastAPILangGraphLiteLLMMongoDBPostgreSQL
View experienceCompany site
Case studies
ComplianceOS (deep dive)

RingCentral

Internship
SDE Intern · Jan 2024 – Jun 2024 · Bangalore, India

Modernized legacy interfaces and improved app performance through targeted frontend and integration work.

  • Ported Porting Script Generator from Angular 1.x to React + Redux; increased test coverage by 95% via React Testing Library and reduced load time 4x (2s → <0.5s).
  • Integrated feature into global CI/CD pipelines with performance regression gates enforcing new load-time thresholds.
ReactReduxTypeScriptReact Testing LibraryCI/CDPerformance Optimization
View experienceCompany site
See full experience timeline
Selected work

Projects that show how I think and ship

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.

Showing 6 items · Filter: All
  • Preview for graph-rca

    graph-rca

    Log-to-resolution RAG system over 200 annotated production incidents — LLM parses raw logs into a causal DAG stored in MongoDB; ChromaDB (HNSW index) retrieves runbook context scoped to that graph traversal before generating a root-cause report. Output quality validated by a 3-model judge ensemble (Qwen3:32b, GPT-4o-mini, Llama-3.1-70B) across 9 reproducible experiment scripts; ships with CPU/GPU Docker Compose variants and one-command ./run.sh setup.

    Software
    Problem
    Manual analysis of production incident logs for root cause determination is time-consuming and inconsistent.
    Tech
    PythonFastAPILangChainChromaDBMongoDB
    Impact
    Automated root-cause reports with high-quality validation and easy deployment, reducing resolution time.
    Source
  • Preview for permission-mongo

    permission-mongo

    RBAC-powered BaaS for MongoDB targeting 50K+ QPS custom AST-caching policy expression compiler, lock-free router with atomics, fasthttp tuned for 256K concurrent connections, batched async audit logging. Ships with labeled Prometheus histograms (latency, RBAC eval outcomes, cache hit/miss), a pre-built Grafana dashboard, and a Python SDK bundled alongside the Go service.

    Software
    Problem
    High-performance, scalable RBAC for MongoDB requires complex custom implementations.
    Tech
    GoMongoDBPrometheusGrafana
    Impact
    Delivers a production-ready RBAC service with advanced features, monitoring, and SDK support.
    Source
  • Preview for BetterBingImageDownloader

    BetterBingImageDownloader

    Published and actively maintained library with 18K+ downloads, 41 stars, 10 versioned releases; v3.0.0 was a correctness release fixing a thread-unsafe counter, atomic file writes, MD5 deduplication, and a global socket.setdefaulttimeout() side-effect. Test suite grew from 0 → 41 passing tests with GitHub Actions CI; follows full pip packaging lifecycle with pyproject.toml and entry-point CLI.

    Software
    Problem
    Existing tools for downloading Bing images were unreliable, lacking proper testing and packaging.
    Tech
    PythonPyPI
    Impact
    Reliable, well-tested library with significant adoption, improving dataset creation workflows.
    Live demoSource
  • Preview for Cyclomatic Complexity Clang Plugin

    Cyclomatic Complexity Clang Plugin

    Clang compiler plugin using AST traversal to compute per-function cyclomatic complexity across C/C++ codebases; generates refactoring reports and integrates with CI/CD to enforce complexity thresholds at review time. Awarded Best Project by HPE LLVM team; built during LLVM 2024 workshop alongside contributions to LLVM project toolchain.

    Software
    Problem
    Assessing and enforcing code complexity in large C/C++ projects is challenging without integrated tools.
    Tech
    C++Clang/LLVM
    Impact
    Automated complexity analysis tool that aids refactoring and code quality enforcement, recognized with an award.
  • Preview for Lung Classification

    Lung Classification

    Noise filter effects on deep learning medical imaging.

    Publication
    Problem
    Noise in CT and X-ray images impacts the accuracy of lung disease classification models.
    Tech
    PythonPyTorchImage Processing
    Impact
    Evaluated filter effects to improve model performance in medical imaging, published in IJEECS.
    Read paperSource
  • Preview for Handwritten Tripsheet Analysis

    Handwritten Tripsheet Analysis

    EasyOCR + regex pipeline achieving 30% accuracy gain.

    Publication
    Problem
    Handwritten tripsheets in logistics lead to high error rates in data extraction.
    Tech
    PythonEasyOCRRegex
    Impact
    Achieved 30% accuracy improvement through OCR and post-processing, published in IEEE Xplore.
    Read paperSource
About

A backend engineer who ships with intent

I care about systems that are easy to reason about: clear contracts, predictable performance, and observability that tells the truth.

AI & Fullstack Engineer driving innovation

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.

Location
Bangalore, India
Availability
Available
Toolbox

Tools I reach for in production

A curated core set, plus a wider toolbox depending on the problem.

Total: 26
PythonFastAPILangGraphLiteLLMPostgreSQLDockerKubernetesAWS
Full toolbox
  • JavaScript
  • C++
  • TypeScript
  • React
  • Next.js
  • Langchain
  • Pydantic
  • PyTorch
  • Qdrant
  • MongoDB
  • MySQL
  • Git
  • Linear
  • Jira
  • JWT
  • OAuth
  • Embedded C
  • Assembly
Contact

Let’s build something reliable

I'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.

Direct

Email
krishna.tejaswi@shenthar.com
Phone
+91 (776) 095-1918
WhatsApp
WA.ME/KTS

Social

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