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Full Stack Engineer with less than a year in Web Development & AI/ML
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Assessing your cultural and operational fit
Full-Stack Software Engineer - final-year B.Tech CS (AI) graduate with SDE internship experience building scalable web applications, RESTful APIs, microservices, and production RAG/AI-ML pipelines. AWS Certified Solutions Architect (2025); Adobe Hackathon 2025 Finalist. Proficient in Java, Spring Boot, React.js, Node.js, TypeScript, Python, LangChain, Docker, Kubernetes, and CI/CD. Experienced in Agile/Scrum, code reviews, and cross-functional collaboration; 150+ LeetCode problems solved.
Pranveer Singh Institute of Technology (PSIT)
B.Tech · Computer Science & Engineering (Artificial Intelligence)
August 1, 2022 – July 1, 2026
Snestron Systems Pvt. Ltd.
SDE Intern
January 1, 2026 – Present
Hyderābād, Telangana, India
QueryVault - RAG Document Intelligence Chatbot
January 1, 2026 – Present
Architected a full-stack RAG pipeline built PDF ingestion with 512-token chunking, HuggingFace all-MiniLM-L6-v2 embeddings, and FAISS vector store enabling sub-second semantic retrieval; deployed on Render with FastAPI backend and React/TypeScript frontend. Implemented SSE token streaming from FastAPI to React (TypeScript) with real-time typewriter UI and page-level source citations; 100% endpoint coverage via 15 unit tests (pytest) across 9 API endpoints; modular LLM config supporting Gemini/OpenAI via environment variables.
View ProjectRiskGuard - Compliance & Risk Monitoring Microservice
January 1, 2025 – Present
Designed and implemented a Spring Boot microservice processing compliance rules on Apache Kafka-streamed financial data at sub-100ms latency; containerized with Docker and orchestrated on Kubernetes with health checks, horizontal auto-scaling, and zero-downtime rolling deployments. Designed a modular rule engine fully decoupled from the ingestion layer new compliance rules deployable without service restart or redeployment.
View ProjectTimbre - GenAI Voice Cloning Application
January 1, 2025 – Present
Fine-tuned XTTS-v2 using transfer learning on custom datasets; built audio preprocessing pipelines (noise reduction, normalization, segmentation) achieving consistent speaker similarity across 10+ accent-diverse speakers with under 8-second inference latency; deployed as a Dockerized Flask REST API with real-time audio playback frontend.
View ProjectCredit Card Fraud Detection - ML Pipeline
January 1, 2025 – Present
End-to-end ML pipeline on 284,807-transaction Kaggle dataset (0.17% fraud rate); SMOTE for class imbalance XGBoost best: 0.97 Precision, 0.95 Recall, 0.96 F1 across 5 benchmarked models.
View ProjectParkezy - Full-Stack Parking Management Platform
January 1, 2024 – January 1, 2024
Developed a full-stack MERN application with dual-role access control - property owners manage listings via an interactive Leaflet.js map dashboard; users view real-time slot availability and complete bookings; secured with JWT authentication, Cloudinary media uploads, and Mongoose ODM. Deployed live on Vercel.
View ProjectAWS Certified Solutions Architect
Amazon Web Services
January 1, 2025 – Present
Software Engineering Virtual Experience
Accenture on Forage
January 1, 2025 – Present
Python I & II, OOPS, HTML, CSS3
Infosys Springboard
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from full-stack web applications to advanced AI/ML pipelines and microservices, demonstrates a broad interest in various technical domains. Their involvement in hackathons and continuous learning (certifications) indicates a proactive and growth-oriented mindset. The blend of personal projects and internship experience suggests a strong drive for practical application and continuous skill development, which aligns well with a dynamic engineering culture.
Soft Skills & Operational Fit
The candidate's experience at Snestron Systems Pvt. Ltd. highlights strong collaboration skills within an Agile/Scrum team, including participation in sprint planning, daily standups, and peer code reviews. Their ability to consistently deliver features on schedule and resolve production bugs indicates a proactive and detail-oriented approach. The project descriptions are clear and well-structured, suggesting good technical communication.