Skills & Technologies
34 skillsWork Experience
Software Engineering Intern
Edu Tantr
- Engineered a high-performance product catalog usingMongoDB aggregation pipelinesandRedis caching, reducing page load latency by35%for end users under real production traffic.
- Architected aRole-Based Access Control (RBAC)system withJWT authenticationmiddleware, securing all REST API endpoints across admin, vendor, and customer roles with zero privilege escalation.
- Automated the full deployment workflow usingDockercontainers andGitHub Actions CI/CDpipelines, cutting the release cycle from 120 minutes down to 24 minutes (80% reduction).
Data Engineering Intern
Futurense Technologies
- Built end-to-end automatedETL pipelinesin Python (Pandas, NumPy) and Azure Data Factory, slashing manual data preparation time from 8 hours to 2 hours (75% reduction) across large-scale datasets.
- Optimised complexSQL queriesusing strategic indexing and query planning, measurably improving data retrieval speed across internal analytics dashboards and business reporting tools.
- Developed backend data visualisation modules that surfaced key user drop-off patterns, directly contributing to an18% upliftin platform conversion rates.
Projects
Onyx-API Chaos & Load Testing Platform
View Project- Designed and built a distributed load-testing system usingRedis + BullMQtask queues to orchestrate high-concurrency API stress tests with real-time telemetry streaming to a live dashboard.
- Implementedlow-latency W ebSocketevent pipelines for live attack monitoring; built robust error-handling that surfaces 500-class failures to the frontend with full request context.
- Architected the system for penetration-testing simulation scenarios, gaining deep hands-on experience withdistributed systems, async job queues, and concurrent workload management.
VECTOR.AI-AI SaaS Platform
View Project- IntegratedGoogle GeminiandHugging F ace FLUX.1APIs withautomatic provider failoverand exponential backoff retry logic, ensuring uninterrupted service delivery under high load and API failures.
- Built 6 AI-powered tools including article generation, image generation, background removal, and resume review withPDF parsing, all secured viaClerk + JWTauth on 9 RESTful API endpoints.
- Implemented a file upload pipeline (Multer, 4MB validation), community gallery usingPostgreSQL array data types, and full CI/CD deployment on Vercel.
EduVerse-AI-Powered Learning Platform
View Project- Architected a multi-provider AI service usingGroq LLM with Gemini API fallbackand24-hour Redis response caching, reducing API costs by80%across 12 tables withRow Level Security.
- Built 30+ RESTful API endpoints withJWT authenticationandrate limiting (500 RPM); engineered an interactive skill-tree roadmap visualiser that achieved a95+ Google Lighthouse score.
- Integrated AI-powered video transcription and auto-generated summaries and quizzes using theGemini API; delivered a fully responsive TailwindCSS UI with sub-second load times.
Leaderboard Standings
Leaderboard Position Pending
Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.
Assessment Highlights
Assessments Not Completed
Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.
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
Performance Optimization
Reduced page load latency by 35% for end users by engineering a high-performance product catalog using MongoDB aggregation pipelines and Redis caching.
Deployment Automation
Reduced release cycle from 120 minutes to 24 minutes (80% reduction) by automating deployment workflows with Docker and GitHub Actions.
ETL Pipeline Optimization
Reduced manual data preparation time from 8 hours to 2 hours (75% reduction) by building automated ETL pipelines.
Conversion Rate Improvement
Contributed to an 18% uplift in platform conversion rates by developing backend data visualization modules.
Cost Reduction
Reduced API costs by 80% by architecting a multi-provider AI service with Redis response caching.
About Details
Professional Bio
Software Engineering student with experience in full-stack development, ETL pipelines, and AI integration. Skilled in building high-performance systems using React, Node.js, PostgreSQL, and cloud technologies. Passionate about optimizing system performance and automating deployment workflows.
B.Tech, Computer Science Engineering \u2014 AI & Data Engineering
Lovely Professional University (2022 - 2026)