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AI Engineer with less than a year in Java, Python, and MERN stack developing AI-driven applications.
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Assessing your cultural and operational fit
Computer Science undergraduate with strong problem-solving skills and hands-on experience in Java, Python, Spring Boot, React, and AI-driven application development. Experienced in building full-stack and machine learning applications using MERN, Docker, Flask, UNET, and UNETR. Passionate about backend engineering, distributed systems, and solving real-world technical challenges.
Keshav Memorial Institute of Technology
B.Tech · Computer Science Engineering
August 1, 2022 – June 30, 2026
Narayana College, Hyderabad
MPC
June 1, 2020 – May 31, 2022
Sri Prakash School, Miryalaguda
CBSE
N/A – May 31, 2020
ScriptSynth-AI
October 1, 2024 – October 1, 2024
Architected an 8-microservice event-driven platform with Spring Cloud Gateway, Eureka service discovery, and JWT-based authentication securing all downstream APIs. Built a Python AI service using FastAPI, LangChain, and Groq (Llama 3.1) for real-time story generation, movie brainstorming, and personalized recommendations powered by ChromaDB vector embeddings. Implemented an asynchronous Kafka pipeline where user reviews are published, consumed, embedded via Sentence-Transformers, and stored in a vector database for RAG-based recommendation queries. Containerized the complete application using Docker for deployment and scalability.
View ProjectGEN AI MED 3D
October 1, 2024 – October 1, 2024
Performs lung segmentation, pulmonary nodule classification, and liver segmentation on 3D medical images using GenAI. Primarily focused on lung segmentation, with the same process applied to nodule classification and liver segmentation. Used Python for implementing UNET and UNETR models, MERN for web app development, UNETR for advanced medical image segmentation using Generative AI, Docker for containerizing the application.
View ProjectReal-Time Chat Application
March 1, 2023 – March 1, 2023
Built a real-time messaging platform with secure JWT authentication. Implemented live messaging, typing indicators, and instant updates using Socket.IO. Designed scalable architecture capable of supporting 100+ concurrent users. Integrated MongoDB for persistent chat storage.
View ProjectCultural Fit Analysis
The candidate's academic projects demonstrate a strong interest in cutting-edge AI technologies, distributed systems, and full-stack development, which aligns well with an AI Engineer role. The diversity of projects (AI, microservices, real-time chat) indicates a broad technical curiosity and willingness to tackle different challenges. However, all projects are academic, and there is no professional experience, which might impact immediate cultural integration into a fast-paced industry environment without mentorship.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on complex, multi-faceted projects, suggesting good problem-solving and technical execution skills. Participation in a hackathon and project expo, along with serving as Head Boy, points to potential for teamwork and leadership, though these are not directly assessed in the provided data.