(Jan 2026 - Jun 2026)
Software Engineering Intern
Credibl (Credible Innovations)
constcoder={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.

(Jan 2026 - Jun 2026)
Software Engineering Intern
Credibl (Credible Innovations)
(2026 - Present)
Open Source Contributor
KubeEdge Ianvs — CNCF
(2023 - Present)
Competitive Programmer
ICPC Regionals · 800+ LeetCode
PDF-RAG — Chat with PDF
constproject={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
constproject={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
constproject={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
constproject={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.,};2022 - 2026
B.Tech in Computer Science Engineering — CGPA 8.73
Shri Guru Gobind Singhji Institute of Engineering & Technology, Nanded
2021 - 2022
Higher Secondary (XII) — 85.5%
G.B.M.M., Hinganghat
2019 - 2020
Secondary (X) — 91.2%
Mahesh Gyanpeeth High School, Hinganghat