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Experience
Software Developer
Fraud Detection System · 2026 — Present
Created a Spring Boot backend for fraud analysis, utilizing REST APIs and MySQL for data persistence. Integrated a hybrid scoring model combining rules and machine learning, incorporating Kafka-driven asynchronous processing and alert systems. Implemented JWT authentication, performed velocity and geo checks using Redis, and utilized Prometheus and Grafana for monitoring.
Android Developer
Sanraksha Alert · 2026 — 2026
Engineered an Android emergency safety application featuring various SOS triggers such as manual activation, shake detection, voice recognition, and sound detection for GPS-based alerts. Developed an offline safety system with AES-128 encrypted storage and ensured reliability through continuous background monitoring and automatic restarts.
Full-Stack Developer
Farmer Web App · 2026 — 2026
Developed a comprehensive farmer management web application incorporating various modules like crop marketplace and livestock tracking. Created a scalable single-page application with role-based authentication, protected routing, and real-time alerts for an enhanced user experience.
AI Developer
Enterprise Ai Knowledge Q&A System · 2025 — 2025
Built a high-performance Retrieval-Augmented Generation (RAG) system featuring a multi-stage pipeline for document ingestion and answer generation. Enhanced retrieval efficacy with cosine-similarity search using a Qdrant vector database and improved relevance through re-ranking techniques.
Machine Learning Developer
AI Fake Job Detector · 2025 — 2025
Constructed a system for detecting fraudulent job postings through a dual-branch LSTM neural network, combining NLP embeddings with structured metadata. Developed an interactive application for real-time job posting analysis and fraud risk scoring.
Deep Learning Developer
Real-Time Multi-Modal Emotional State Analyzer · 2025 — 2025
Designed a multi-modal emotion recognition system analyzing text, audio, and video inputs. Developed a custom PyTorch fusion model using BiLSTM and CNN+LSTM architectures, optimizing performance through mixed-precision training.
Web Developer
Cras Automotive Services
Designed and implemented a multi-page responsive website for an automotive service brand, focusing on consistent layout and navigation. Developed interactive user interface features including mobile navigation and client-side form validation, while optimizing media for performance.