Software Engineer with 3+ years in MERN Stack & AI/ML
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Motivated Full Stack Developer and AI enthusiast with a strong foundation in Data Structures, Algorithms, and the MERN stack. Experienced in building responsive web applications and implementing advanced AI features, including RAG pipelines and Graph-based recommendation systems. Seeking an entry-level Software Development role to contribute to real-world products.
Raj Kumar Goel Institute of Technology
B.Tech · Computer Science Engineering (AI & ML)
November 1, 2022 – June 1, 2026
Teresa International Academy
Senior Secondary Education · CBSE
June 1, 2019 – May 31, 2021
St. Karen's Secondary School
Secondary Education · CBSE
June 1, 2014 – May 31, 2019
Swiggy Clone – Food Delivery Web App
June 24, 2026 – Present
Built a Swiggy-inspired single-page food delivery application with restaurant browsing, menu views, filters, and cart management. Implemented client-side routing using React Router with nested routes for restaurant details and in-app search. Integrated real Swiggy APIs, handling deeply nested JSON responses, loading states, and client-side veg/non-veg filtering. Designed global cart state management using Redux Toolkit with add, increment, and decrement actions across routes.
View ProjectAI Movie Recommendation System
June 24, 2026 – Present
Developed an intelligent recommendation engine using RAG and Graph-based retrieval to provide context-aware movie suggestions. Implemented a hybrid search strategy using Pinecone for semantic similarity and Neo4j to map relationships between genres, actors, and directors. Integrated LLMs via LangChain to synthesize retrieved data from vector and graph sources into personalized responses. Optimized data retrieval by leveraging graph traversals, resulting in more accurate and interconnected movie recommendations.
View ProjectIntroduction to Generative AI
Microsoft
April 1, 2025 – Present
C++ for C Programmers
Coursera
December 1, 2023 – Present
Cultural Fit Analysis
The candidate's academic projects showcase a blend of traditional web development and cutting-edge AI/ML applications, indicating a diverse interest and adaptability. The focus on AI/ML aligns well with innovative tech environments. The self-driven learning and problem-solving achievements suggest a good fit for a growth-oriented culture. However, the lack of professional experience means cultural fit is primarily inferred from academic pursuits and self-learning.
Soft Skills & Operational Fit
The candidate demonstrates a continuous learning mindset and strong problem-solving skills. Project descriptions indicate an ability to work independently on complex features. However, without interview data or team-based project details, assessing collaboration, stress handling, and direct communication clarity is challenging.