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Software Engineer with less than a year in MERN, Node.js, and Google Gemini API.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
As a highly motivated and graduating M.Tech student with 0.5 years of internship experience, I specialize in full-stack development with MERN and Node.js, complemented by strong skills in AI/ML technologies like Google Gemini API, NLP, and LangChain. My projects demonstrate a proven ability to develop scalable, efficient, and intelligent software solutions, including AI-powered platforms and web content retrieval systems, enhancing automation and user engagement. I am eager to apply my technical expertise and problem-solving skills to innovative engineering roles.
Sri Ramakrishna Engineering College (SREC)
M.Tech · Computer Science and Engineering
N/A – June 30, 2026
Sierra Digital
Software Developer Intern
June 1, 2024 – December 1, 2024
India
AI-Powered Employee-Ops Platform
October 1, 2025 – Present
Developed and deployed a full-stack employee platform with 4 role-based dashboards (Admin, HR, Manager, Employee), increasing workflow automation by 35% and reducing manual HR load. Implemented AI-driven resume analysis using the Google Gemini API, enhancing candidate evaluation accuracy by 40% through intelligent scoring models. Architected live collaboration channels using Socket.io, enabling instant task assignment and department collaboration, cutting decision latency by 25%. Constructed secure JWT-based authentication and CRUD APIs with integrated email notifications and AI-powered facial recognition for attendance tracking, automating admin approvals and bulk employee data uploads with 95% accuracy.
Intelligent Web Content Retrieval and Response Generation Platform
June 1, 2024 – Present
Engineered a retrieval-augmented generation (RAG) system that delivers real-time contextual responses, improving semantic accuracy by 30%. Designed modular vector search architecture using LangChain and Pinecone, reducing query latency by 25% and enhancing search precision. Integrated Google Gemini API via RESTful services for context-aware response generation, increasing model output relevance by 20%. Optimized backend performance using asynchronous Node.js endpoints and load-balanced API architecture, achieving a 35% increase in throughput under high-traffic conditions.
NVIDIA Fundamentals of Deep Learning
NVIDIA
June 1, 2026 – Present
LetsUpgrade Mysql
LetsUpgrade
June 1, 2026 – Present
Udemy-Generative AI
Udemy
June 1, 2026 – Present
GUVI Python
GUVI
June 1, 2026 – Present
Udemy Front-End Web Development
Udemy
June 1, 2026 – Present
LetsUpgrade Postman API
LetsUpgrade
June 1, 2026 – Present
LetsUpgrade Python and Data Science
LetsUpgrade
June 1, 2026 – Present
L&T techgium 2024
Unknown
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects showcase a strong interest in innovative technologies like AI/ML and full-stack development, aligning with a forward-thinking and technically driven culture. The diversity of technologies used (MERN, Python, SAP UI5/Fiori, various AI/ML tools) suggests adaptability and a willingness to learn new tools, which is beneficial for cultural fit in dynamic environments. The focus on building practical solutions with measurable outcomes indicates a product-oriented mindset. However, the candidate's experience level is entry-level, which might require mentorship in a senior role.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to learning and applying new technologies, as evidenced by their diverse project work and certifications in AI/ML and web development. Their project descriptions highlight problem-solving skills and an ability to quantify impact, which suggests a results-oriented mindset. Collaboration with backend teams and functional teams during their internship indicates an ability to work in a team environment. However, without direct assessment data on communication or psychometric traits, a comprehensive evaluation of soft skills and operational fit is limited.