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Hello,
This is Karan Thengane , I'm a Software Engineer.

name:'Karan Thengane',
skills:['Elixir', 'Phoenix', 'TypeScript', 'React', 'Next.js', 'Node.js', 'PostgreSQL', 'MongoDB', 'Python', 'C++', 'Java', 'Docker', 'Git'],
hardWorker:true,
quickLearner:true,
problemSolver:true,
hireable:function() {
return(
this.hardWorker&&
this.problemSolver&&
this.skills.length>=5
);
};
};

Who I am?

I'm a Computer Science graduate and software engineer who likes building things people actually use. During a 6-month internship, I worked end to end on two production Elixir/Phoenix codebases — across backend logic, databases, and UI.

I care most about performance and correctness. The work I enjoy is the unglamorous kind: tracking down a slow query with EXPLAIN ANALYZE until the timeout is gone, or turning a manual, error-prone process into a clean automated pipeline.

Outside of work, I keep my fundamentals sharp through competitive programming — 800+ solved on LeetCode and an ICPC Regionals Honorable Mention — and contribute to open-source AI infrastructure. I'm currently looking for full-time Software Engineer roles.

Karan Thengane
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Experiences
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(Jan 2026 - Jun 2026)

Software Engineering Intern

Credibl (Credible Innovations)

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(2026 - Present)

Open Source Contributor

KubeEdge Ianvs — CNCF

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(2023 - Present)

Competitive Programmer

ICPC Regionals · 800+ LeetCode

Skills
PROJECTS

PDF-RAG — Chat with PDF

name:'PDF-RAG — Chat with PDF',
tools: ['Next.js', 'Node.js', 'Express', 'BullMQ', 'Qdrant', 'HuggingFace', 'Clerk],
myRole:Full Stack Developer,
Description: A full-stack AI application for real-time, context-aware querying of PDF documents. I built asynchronous PDF processing with BullMQ for scalable, queue-based embedding generation, generated semantic embeddings via the HuggingFace Inference API, and stored them in a Qdrant vector database for context-aware retrieval. Authentication and session handling were implemented with Clerk across a Next.js frontend and a Node/Express backend.,
};

GrowEasy — AI CSV CRM Importer

name:'GrowEasy — AI CSV CRM Importer',
tools: ['Next.js', 'TypeScript', 'Node.js', 'Express', 'Google Gemini', 'Tailwind', 'PapaParse],
myRole:Full Stack Developer,
Description: A full-stack AI app that imports any lead-export CSV (Facebook/Google Ads, CRM exports, or manual spreadsheets) and uses Google Gemini to intelligently map arbitrary columns into a fixed CRM schema. I built an asynchronous pipeline: the Express/TypeScript backend parses and batches rows, runs structured Gemini extraction with enum and validation checks, and exposes a job-polling API. The Next.js frontend is a 4-step wizard (upload → preview → confirm → results) with virtualized tables for large files and a live progress bar.,
};

Samvad — Real-Time Chat App

name:'Samvad — Real-Time Chat App',
tools: ['MongoDB', 'Express', 'React', 'Node.js', 'Socket.IO', 'Zustand', 'Gemini API', 'Tailwind],
myRole:Full Stack Developer,
Description: A full-stack real-time chat application with instant messaging and an AI assistant. I built Socket.IO-based instant messaging with Zustand for global state management, a responsive cross-device UI using Tailwind CSS and DaisyUI, Cloudinary media uploads, and Nodemailer authentication. I also integrated the Gemini 2.0 Flash API for AI-generated responses.,
};

KubeEdge Ianvs — Open Source

name:'KubeEdge Ianvs — Open Source',
tools: ['Python', 'Sedna', 'ML Benchmarking', 'Cloud-Edge AI', 'Git],
myRole:Open Source Contributor,
Description: Contributing to KubeEdge Ianvs, a CNCF open-source framework for benchmarking distributed cloud-edge AI, with a focus on LLM cloud-edge collaborative inference. I set up a local development environment against the upstream project and am working through good-first-issues toward example-restoration and benchmarking improvements, targeting an LFX Mentorship on the project.,
};
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Educations
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2022 - 2026

B.Tech in Computer Science Engineering — CGPA 8.73

Shri Guru Gobind Singhji Institute of Engineering & Technology, Nanded

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2021 - 2022

Higher Secondary (XII) — 85.5%

G.B.M.M., Hinganghat

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2019 - 2020

Secondary (X) — 91.2%

Mahesh Gyanpeeth High School, Hinganghat

Contact with me

If you have any questions or concerns, please don't hesitate to contact me. I am open to any work opportunities that align with my skills and interests.

karanthengane23@gmail.com

+91 90213 60281

Pune, Maharashtra, India

© 2026 Karan Thengane. All rights reserved.