Sarvesh Khamkar

Full Stack Engineer

Thane, Maharashtra, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in developing scalable systems using Java.
Proven experience in AI-driven solutions for interview processes.
Strong leadership skills demonstrated through college club management.

Stackforce AI infers this person is a Fullstack Developer with a focus on SaaS solutions and AI-driven applications.

Contact

sarvesh.khamkar@code-b.dev LinkedIn

Skills

Core Skills

Node.jsMongodb

Other Skills

Android DesignAndroid DevelopmentAndroid SDKAndroid studioCascading Style SheetsCore JavaDBMSDiscordDiscord APIGit & GitHubHTMLJavaKotlinLinuxMean Stack

About

Passionate software engineer skilled in Java, data structures, and algorithms. I excel at solving complex problems and developing scalable systems. I gained industry experience at Tyre Shipping, optimizing cargo container space with advanced Java algorithms. My projects include a Bank Management System in Java, an Electro Calculator Dashboard App, and a Discord bot. With strong leadership and communication skills, I have led college clubs. I share scalable system designs on LinkedIn and aim to drive technological advancements through continuous learning and collaboration. When I'm not immersed in the world of coding and problem-solving, you'll most likely find me playing with my beloved Mau (cat). Skills: Data structures & algorithm: Java DBMS:SQL, MongoDB SpringBoot Kotlin Operating system:Linux System design Git & GitHub Android studio

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Code b solutions pvt ltd

Full Stack Developer

Jun 2024 – Aug 2024 · 2 mos · On-site

Automated interview email system: Created an automated email system using Node.js, MongoDB, and Nodemailer. This system handles interview links and expiration notifications, reducing manual intervention by 50%.
Dynamic interview generation: Contributed to the Automated Interview Generation team. Developed an AI-driven interview system using OpenAI API and speech-to-text, generating dynamic questions based on resumes and previous responses to improve user engagement.
Access control via AuthGuard: Implemented restrictions on candidate result access within the organization to ensure data privacy and compliance.
Talent pool filters and dynamic flow diagrams: Developed a candidate filtering system for the job pool, utilizing various metrics such as score, role, and gender, implemented a React flow diagram to visualize the reporting structure of all employees within the organization.
Landing page optimization: Created a user-friendly landing page in Svelte, increasing web traffic by 30%.
Daily Bug solving: Worked with a software tester to resolve bugs on a daily basis.

Node.jsMongoDBNodemailerOpenAI APIspeech-to-textReact+1