Help & Supportcareers@gravityer.com
Software Engineer with 1+ years in Java, Spring Boot & AI/ML
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Backend-focused Software Engineer with 1 year of industry experience at OpenText, building scalable enterprise systems serving thousands of users. Proficient in Java, Spring Boot, and PostgreSQL with deep expertise in RESTful API design, transactional data handling, ORM-based persistence (Hibernate/JPA) and application security. Proven track record of engineering AI-powered solutions using RAG pipelines, LangChain, and FAISS automating high-volume workflows and achieving sub-second query latency at scale. Currently seeking backend engineering or applied AI roles where I can build systems at scale.
Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology
B.Tech · Computer Science & Engineering
January 1, 2021 – January 1, 2025
Bhashyam IIT JEE Jr College
Intermediate (XII)
January 1, 2019 – January 1, 2021
OpenText
Associate Software Engineer
October 1, 2025 – March 1, 2026
Hyderābād, Telangana, India
OpenText
R&D Intern
April 1, 2025 – October 1, 2025
Bengaluru, Karnataka, India
RAG-Based Intelligent Document Search System
April 1, 2026 – June 1, 2026
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
May 1, 2025 – June 1, 2025
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
January 1, 2025 – May 1, 2025
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
September 1, 2023 – November 1, 2023
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.
ML Using Python
Infosys
June 1, 2026 – Present
Responsible & Safe AI
NPTEL
June 1, 2026 – Present
Intro to Networks
Cisco
June 1, 2026 – Present
Achieved 88%, demonstrating strong proficiency in Java development, clean code principles, and testing frameworks like Spock and JUnit, indicating a solid foundation for backend roles.
Strengths
Limitations
Scored 90%, indicating excellent knowledge in SAP Digital Transformation Manager concepts, particularly IT Business Partnering. While strong, this is less relevant for a pure Software Engineer role.
Cultural Fit Analysis
The candidate demonstrates a strong drive for learning and applying diverse technologies, from core backend systems to advanced AI/ML. Their project portfolio shows initiative and a proactive approach to building solutions. The experience at OpenText, including an internship and an associate role, indicates an ability to integrate into an enterprise environment and contribute to complex systems. The variety of projects (AI, full-stack, enterprise features) suggests adaptability and a broad interest in different technical domains, aligning well with a dynamic engineering culture.
Soft Skills & Operational Fit
The candidate's project descriptions highlight problem-solving, optimization, and collaboration (e.g., partnering with product teams). The psychometric test score of 301/500 suggests average performance in areas like logical reasoning, work attitude, stress handling, and team collaboration, which could be an area for further probing during interviews. The English test score of 68/100 indicates room for improvement in communication clarity and professional language usage.
Strengths
Limitations
Achieved 91%, showcasing outstanding command of Java and the Spring framework, which are critical for backend software engineering roles. This indicates a deep technical understanding.
Strengths
Limitations