Software Engineer with less than a year in MERN Stack & AI/ML
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Software Engineer with hands-on experience in Full-Stack Development (MERN Stack) and algorithms. Proficient in C++, JavaScript, and Python with a strong foundation in Data Structures, OOP, and Databases. Skilled at building secure and scalable applications and have solved 300+ problems on LeetCode/GFG.
Indian Institute of Information Technology, Sri City
Bachelor of Technology · Electronics and Communication Engineering
August 1, 2022 – June 30, 2026
Sri Chaitanya Junior College
Board of Intermediate Education
N/A – May 31, 2022
Medical Chatbot
January 1, 2025 – December 31, 2025
Developed a RAG-based medical chatbot for context-aware question answering from medical documents. Generated transformer-based embeddings and stored them in Pinecone for efficient semantic retrieval. Integrated a Groq-hosted LLaMA model using LangChain to generate accurate responses. Built a Flask backend exposing a RESTful /chat API with validation and exception handling.
Text Classification using NLP
August 1, 2024 – August 31, 2024
Built a supervised NLP pipeline for multi-class emotion classification from raw text data. Performed text preprocessing and feature extraction using Bag-of-Words and TF-IDF. Trained and evaluated Naïve Bayes and Logistic Regression models for performance comparison.
StudyStride
January 1, 2024 – December 31, 2024
Developed a MERN-based educational platform providing structured exam preparation resources and student guidance. Implemented RESTful APIs using Node.js and Express for JWT authentication, counselling requests, and backend data handling. Built a counselling workflow with slot selection and automated admin email notifications, along with an AI-powered chatbot for student queries. Deployed the application on Vercel with MongoDB for storage and scalability.
Data Analytics Certification
Cisco Networking Academy
June 1, 2026 – Present
DSA Course Certification
Vamsi Bhavani
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic and personal projects demonstrate a proactive learning attitude and a willingness to explore diverse technical areas, from full-stack development to AI/ML. The 'StudyStride' project suggests an interest in creating impactful solutions. The breadth of technologies used (MERN, Flask, LangChain, Pinecone) indicates adaptability. However, the lack of team-based projects or professional experience makes it challenging to fully assess cultural fit in a collaborative work environment.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex technical tasks independently. The 'StudyStride' project, in particular, shows initiative in developing a comprehensive platform. However, without direct work experience or psychometric test results, it is difficult to assess soft skills like teamwork, communication in a professional setting, or stress handling.