Software Engineer with 3+ years in Frontend, AI & Security
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
A highly skilled Software Engineer with 3.75 years of experience specializing in frontend development (ReactJS, TypeScript, Next.js) and AI/ML tooling (Amazon Bedrock, Prompt Engineering). Proven track record in building production-grade systems, optimizing performance, and delivering complex projects on time. Expertise includes secure document handling, UI modernization, and scalable component architecture, demonstrated through impactful contributions at Archer Integrated Risk Management and RSA Security.
Vellore Institute of Technology, Chennai
M.Tech · Computer Science Engineering – Specialization: Cyber-Physical Systems
N/A – June 30, 2023
Archer Integrated Risk Management
Software Engineer
September 1, 2023 – Present
Bengaluru, Karnataka, India
RSA Security
Graduate Software Engineering Intern
September 1, 2022 – August 31, 2023
Bengaluru, Karnataka, India
Collaborative Real-Time Whiteboard & Chat Application
June 19, 2026 – Present
Built a full-stack real-time collaboration platform using Next.js, React, and Socket.IO; implemented live multi-user presence, low-latency shared canvas with smart shape recognition, and secure authentication via NextAuth.js. Optimized WebSocket event handling and state synchronization for concurrent users; deployed on Vercel with a responsive, accessible UI.
LLM-Integrated Dashboard Modernization Tool
June 19, 2026 – Present
Engineered a prompt-driven UI modernization assistant using Amazon Bedrock; translates legacy component specifications into React component scaffolds, cutting modernization turnaround from days to hours.
Data Leakage Detection and Prevention System
June 19, 2026 – Present
Engineered a data leakage detection system using advanced classification algorithms, achieving 95% detection accuracy and reducing false positives by 15%; demonstrates applied security engineering aligned with enterprise data protection workflows.
Cultural Fit Analysis
The candidate's diverse project portfolio, ranging from real-time collaboration to data leakage detection and AI-driven modernization, indicates a broad interest in various technical domains and a willingness to tackle different challenges. Their experience in both an internship at RSA Security and a full-time role at Archer Integrated Risk Management, coupled with personal projects, shows adaptability and a continuous learning mindset. The focus on enterprise solutions and efficiency improvements aligns well with a results-driven culture. The candidate's M.Tech specialization in Cyber-Physical Systems also suggests a foundational interest in complex, integrated systems.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their project work, particularly in optimizing performance and implementing complex features like real-time collaboration and secure document handling. Their experience in Agile environments and collaboration with various teams indicates good teamwork and operational fit. The ability to deliver across multiple sprints with high on-time delivery suggests reliability and commitment. The candidate's proactive approach to identifying and fixing bugs during their internship also highlights attention to detail and a quality-oriented mindset.