Adarsha K K
Open to work0 years experienceSoftware Engineer
Software Engineer | Full Stack Development | Frontend Development
Standing Rank
Rank Not Available
Developer Badges
No badges earned yet
Skills & Technologies
44 skillsWork Experience
Full Stack Developer Intern
Edubricz Technologies
- Built dashboard modules and lifecycle management features using React and Django REST APIs with component-based architecture and reusable frontend systems.
- Designed and implemented REST APIs and backend workflows supporting authentication, RBAC, multi-tenant architecture, and scalable resource allocation.
- Collaborated with product and engineering teams to convert requirements into scalable product features and iterative improvements.
- Owned deployment, testing, and debugging workflows across AWS environments to improve release reliability and production stability.
- Built Docker-based infrastructure modules supporting deployment and management of isolated WordPress and full stack application environments.
- Reduced deployment overhead through container lifecycle automation improvements.
- Built encrypted AWS S3 backup workflows with retention scheduling and AWS RDS failover support.
- Developed a full stack sales management platform using React, PHP, MySQL, and AWS for education sector field teams.
- Built Google Maps integrations, backend APIs, authentication systems, and reporting workflows supporting route planning and visit tracking.
- Deployed the platform on AWS EC2 and AWS RDS supporting operational workflows for 8 sales users and 3 administrators across 50+ educational institutions.
Projects
RecruiterRisk – AI Based Recruiter Verification Platform
- Developed a full stack web application using MongoDB, Express, React, and Node.js to identify fraudulent job postings.
- Implemented JWT authentication, role-based access control, recruiter dashboards, and backend APIs for trust scoring and risk analysis.
Soft Tissue Tumor Diagnosis using GM-UNet
- Developed MRI tumor segmentation pipelines including preprocessing, training and evaluation workflows.
- Implemented Dice and IoU metrics achieving 87% validation accuracy using TensorFlow-based deep learning models.
RecruiterRisk AI Recruiter Trust Platform
View Project- Built a full stack web application using MongoDB, Express, React, and Node.js to identify fraudulent job postings with recruiter trust scoring.
- Integrated external verification workflows and backend risk analysis to help users evaluate recruiter legitimacy before applying.
KnowledgeOS AI Powered Learning Platform
View Project- Built an AI powered learning platform using React, FastAPI, PostgreSQL, ChromaDB, and Supabase Authentication.
- Implemented asynchronous RAG based conversational search across YouTube, PDFs, websites, GitHub repositories, and documents with streaming responses and learning tools.
- Developed a modular backend architecture with separate ingestion, retrieval, indexing, and chat services for scalable knowledge processing.
- Added AI powered summaries, flashcards, quizzes, learning paths, and mentor sessions using semantic search and contextual retrieval.
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
Container Lifecycle Automation
Reduced deployment overhead through container lifecycle automation improvements.
Soft Tissue Tumor Diagnosis Accuracy
Implemented Dice and IoU metrics achieving 87% validation accuracy using TensorFlow-based deep learning models.
About Details
Professional Bio
Software engineer with experience building scalable product-focused web applications and backend systems using React, Django, PostgreSQL, Docker, and AWS. Skilled in backend development, API design, deployment workflows, authentication systems, and production debugging.
B.E. in Computer Science and Engineering
PES Institute of Technology and Management (2022 - 2026)
B.E. in Computer Science and Engineering
PES Institute of Technology and Management (2022 - 2026)