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CarpeDiem

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Last saved: December 11 at 9:31 PM IST

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Aniket Mahadev Dinde Team Lead RSVP Approved

SDE Intern at FYND
Team lead, planning, oauth and mail fetch logging
โ€œ๐“๐ก๐ž ๐ฉ๐ž๐จ๐ฉ๐ฅ๐ž ๐ฐ๐ก๐จ ๐š๐ซ๐ž ๐œ๐ซ๐š๐ณ๐ฒ ๐ž๐ง๐จ๐ฎ๐ ๐ก ๐ญ๐จ ๐ญ๐ก๐ข๐ง๐ค ๐ญ๐ก๐ž๐ฒ ๐œ๐š๐ง ๐œ๐ก๐š๐ง๐ ๐ž ๐ญ๐ก๐ž ๐ฐ๐จ๐ซ๐ฅ๐ ๐š๐ซ๐ž ๐ญ๐ก๐ž ๐จ๐ง๐ž๐ฌ ๐ฐ๐ก๐จ ๐๐จ.โ€ I'm Aniket Dinde, a software engineer who thrives on solving complex problems with clean code, sharp thinking, and an obsession for real-world impact. I donโ€™t just write programs; I craft systems that scale, adapt, and serve. Whether itโ€™s a full-stack web app, a machine learning workflow, or a backend built to handle millions, I focus on building from the ground up with a solid foundation, thoughtful design, and user-first thinking. I love challenges, from hackathons to production systems. I build with purpose, combining AI, automation, and cloud-native too
Applied AI/ML, full-stack web development, scalable backend systems, automation, cloud-native technologies
Projects include Llama-based Arth.AI, AudiHealth (voice pathology detection), and hybrid RAG Q&A systems. Work involves full-stack web development using React, Node.js, Flask, PostgreSQL, and deploying with Docker and AWS.

Rushikesh Jadhav RSVP Approved

SDE Intern at Fynd
Eleven labs api integration
Hi, I'm a graduate Computer Engineering student currently an SDE Intern at Fynd in Mumbai,who loves building useful and creative tech projects. I enjoy working with full-stack development, AI & cloud tools to turn ideas into real solutions. I believe in the mindset "Never back down๐Ÿ’ช๐Ÿป", which helps me stay motivated in both my work and life. Outside of coding, I also love running ๐Ÿƒ๐Ÿป, whether it's marathons, ultra-marathons, or just challenging
Full Stack Development, Cloud Technologies
Pravaah, a multi-modal logistics optimizer, utilizes Neo4j, Flask, Redis, and MongoDB. Other projects include an AIQuest hybrid RAG Q&A system and computer vision tools like Marathon-Bib-Recognition/Reunite, utilizing OCR, OpenCV, and DeepFace for facial recognition.

Vaibhav Dhanaji Kachare RSVP Approved

Cybersecurity Analyst at KPMG India
Integrating everything seamlessly
Vaibhav Kachare is a Cybersecurity Analyst at KPMG India, with one year of experience. He is currently employed, open to work, and seeking full-time work, as well as mentors or advisors. Vaibhav also tinkers as a Software Developer with an AI focus. He studied Computer Science at SIES Graduate School Of Technology and Father Agnel Technical Education Complex. His location is Navi Mumbai, Maharashtra, India.
Seeking full-time work, seeking mentors/advisors, Gen-AI/LLM prototyping, full-stack web development, cybersecurity/compliance (SOC 1/SOC 2, ISO 27001, GDPR)
Building full-stack web platforms like ARTH.AI--Platform- (Next.js) and backend systems (Gharoma, Node/Express/Prisma). Prototyping Gen-AI/LLMs and chatbots (Artha.Ai) using Python, Streamlit, embeddings, and NLP. Professional work includes SOC 1/SOC 2 reporting and ISO 27001 compliance.

Saurav Shinde RSVP Approved

Design and Developer Intern at Skope Kitchen
UI and PPT
I am Saurav Shinde and I have recently graduated in May 2025 from Terna Engineering College during my academics I worked on MERN stack and now I have hands-on experience building full-stack applications with React.js, Node.js, Express, and MongoDB. Iโ€™m comfortable with RESTful APIs, Git, and API testing, and Iโ€™m eager to learn new technologies like TypeScript and cloud deployment. Iโ€™m a quick learner, a good communicator, and ready to contribute from day one.
Backend development, advanced Node.js, JavaScript, Frontend Development, React
Building full-stack MERN applications. Projects include the React frontend `MeowsWoofs`, backend/extension work (`Fynd/fynd-extension`, `dabba-express`) using Node.js and Express.js, and algorithmic prototyping in Python, such as `Identification_of_Safe_Navigation_routes_on_moon` using geospatial data.