Skills & Technologies
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Work Experience
Associate Software Engineer
OpenText
- Engineered a notes migration feature enabling seamless annotation transfer across 2 enterprise viewer platforms, directly unblocking upgrade paths for enterprise clients
- Architected a reversible annotation revert mechanism using PostgreSQL transactional consistency — reduced data-loss incidents to zero and enabled selective rollback across 50K+ annotation records
- Resolved 10+ critical production bugs including auth failures and a Windows-1256 → UTF-8 encoding defect, cutting customer escalations by ~20% and improving uptime SLA compliance
- Hardened application security via Fortify SAST and Black Duck SCA, remediating 8+ high-severity vulnerabilities and delivering a clean security scan ahead of quarterly audit
R&D Intern
OpenText
- Designed and shipped a reusable UI schema system (dropdowns, tabs, tree-select, dialogs, overlays) in Angular, adopted by 4+ product teams standardized 20+ components and reduced cross-team frontend inconsistency
- Authored developer documentation and sample applications for the JOLT framework, cutting new engineer onboarding time and accelerating adoption across 3 engineering pods
- Standardized component variants and interaction patterns improving scalability and ensuring a consistent user experience across 5+ enterprise product lines
- Partnered with 3+ product teams across multiple engineering pods to gather component requirements and feedback, ensuring the schema system supported diverse enterprise use cases.
- Improved frontend consistency by standardizing a shared design language, significantly reducing ad-hoc component requests and duplicated UI efforts.
Projects
RAG-Based Intelligent Document Search System
- Built an end-to-end RAG pipeline processing 10–50 job emails per run, replacing 2+ hours of manual daily review with a fully automated ingestion-to-insight workflow
- Achieved 0.5–1.0s query latency per prompt using FAISS vector retrieval with 100–300 token chunking, generating structured JSON outputs (job status, summaries) via LLM
- Integrated n8n for zero-touch email ingestion, enabling automated data flow from inbox to structured insights without human intervention
Full-Stack Portfolio Platform
- Architected and deployed a full-stack portfolio platform with an Angular frontend and Node.js REST API backend, featuring modular component architecture and CI/CD pipeline via Vercel for zero-downtime deployments
- Achieved 95+ Google Lighthouse performance score through optimized asset delivery, lazy loading, and responsive rendering ensuring consistent experience across all devices and screen sizes
Skin Disease Detection Platform
- Trained a CNN classifier on 10,000+ dermatology images achieving 85–90% multi-class accuracy with real-time Flask API serving predictions in under 500ms
- Optimized preprocessing and inference pipeline, improving prediction throughput by 30% and ensuring consistent cross-class performance across 7 disease categories
Chili Crop Health Check Platform
- Built a deep learning model using DARKNET53 and YOLOv4 to detect crop diseases with over 90% accuracy, enabling early identification of plant health issues at scale
- Integrated the AI model into an agricultural web platform enabling real-time health monitoring for farmers — resulting in early detection and prevention of crop damage through automated visual analysis
Leaderboard Standings
Leaderboard Position Pending
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Assessment Highlights
Assessments Not Completed
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AI Collaboration Score
AI Collaboration Score Pending
Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.
Role Compatibility Profile
Role Compatibility Analysis Pending
Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.
Achievements
Achievements Not Earned
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About Details
Professional Bio
Associate Software Engineer with 1 year of industry experience at OpenText, building scalable enterprise systems. Proficient in Java, Spring Boot, and PostgreSQL with expertise in RESTful API design and AI-powered solutions using RAG pipelines, LangChain, and FAISS.
B.Tech in Computer Science & Engineering
Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai (2021 - 2025)
Intermediate (XII)
Bhashyam IIT JEE Jr College, Guntur (2019 - 2021)