P

Prabhat Todi

Software Engineer

Gurugram, Haryana, India0 mo experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in building scalable backend systems.
  • Proficient in integrating AI-powered applications.
  • Strong focus on developer productivity and automation.
Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in AI/ML and DevOps.

Contact

Skills

Core Skills

PythonJavaGithub Actions

Other Skills

Android StudioArgoCDDockerGitHubGradleJUnitKeycloakKubernetesLLMLLMsNext.jsNextAuthOCIOpenAI APIPostgreSQL

Experience

0 mo
Total Experience
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Average Tenure
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Current Experience

Aicontentmatic

Software Engineer

Jun 2020Present · 5 yrs 11 mos · Remote

  • Tech Stack: Python, RAG, LLM, Llama cpp, langchain, Streamlit, Java, Spring Boot, JUnit, SonarQube, OCI, Redis, PostgreSQL, Docker, GitHub Actions, Next.js, TypeScript, Keycloak, NextAuth, ArgoCD, next-intl
  • Developed ML-powered NLP models using Retrieval-Augmented Generation (RAG) and embedding techniques.
  • Automated manual workflows, reducing repetitive tasks by 60–70%.
  • Integrated open-source LLMs to enhance language processing capabilities within internal tools.
  • Built and maintained internal Python and TypeScript SDKs/libraries, improving developer productivity and reusability.
  • Designed and consumed REST and GraphQL APIs to enable seamless integration between microservices and client applications.
  • Authored technical documentation and developer guides for SDKs, APIs, and workflows, enabling faster onboarding and better developer adoption.
  • Published reusable packages to PyPI and npm, streamlining internal tool distribution.
  • Built regression models for predictive analytics, achieving 90%+ accuracy.
  • Built dynamic and responsive front-end applications using ReactJS and AngularJS, enhancing user experience and engagement.
  • Increased backend reliability by raising test coverage to 90%+ with unit and integration tests, significantly reducing
  • production bugs.
  • Implemented and optimized CI/CD pipelines with GitHub Actions, applying semantic versioning and automated re
  • leases.
  • Resolved critical SonarQube vulnerabilities and automated static code analysis using GitHub Actions, improving
  • maintainability and compliance.
  • Integrated Keycloak for user authentication and authorization, strengthening application security.
PythonRAGLLMJavaSpring BootJUnit+11

Tata consultancy services

Software Engineer Intern

Jan 2020Jun 2020 · 5 mos · Pune, Maharashtra, India

  • Tech Stack: Android Studio, Java, OpenAI API, Room Persistence Library, LLMs, Gradle, XML
  • Designed responsive Android interfaces using Android Studio, improving user experience.
  • Integrated OpenAI API for dynamic AI-driven responses in Java applications.
  • Boosted engagement with seamless LLM integration for natural language processing.
  • Enabled fast, offline access with Room Persistence Library for local data management.
Android StudioJavaOpenAI APIRoom Persistence LibraryLLMsGradle+1

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