Skills & Technologies
18 skillsWork Experience
Front-End Web Development Trainee
SparkBiz Tech Pvt. Ltd.
- Gaining the exposure to Industry level projects and standards.
- Learning the industry workflow.
AI/ML & Green Skills Intern
Edunet Foundation
- Engineered energy-efficient prompting strategies for carbon-aware AI models and renewable energy applications
- Developed prompt optimization techniques that reduced computational overhead by 30% while maintaining accuracy
- Created intelligent prompting systems for smart grid applications and predictive energy modeling
- Implemented context compression techniques for more efficient AI interactions in resource-constrained environments
Intel AI for Manufacturing
Intel Digital Readiness
- Gaining the core knowledge of web technologies like HTML, CSS and Javascript.
- Learning and practicing the fundamentals of a widely-used javascript framework, React JS.
Web Development Industrial Training
Omniversity
- Developed 5+ responsive web applications using HTML5, CSS3, JavaScript, and React.js
- Implemented pixel-perfect UI designs from Figma mockups with 98% cross-browser compatibility
- Mastered Bootstrap and Tailwind CSS for rapid, responsive design development
- Collaborated with design teams to translate creative concepts into functional web interfaces
Projects
VaultNote – Hierarchical Note-Taking Application
- Architected a OneNote-inspired, 3-tier data model (Notebooks – Sections – Documents) using MongoDB with nested document references for efficient traversal
- Implemented advanced search with keyword, tag, and filter-based querying; integrated lazy loading to support large note libraries without UI degradation
- Added offline-first support via IndexedDB / Local Storage, enabling full read/write functionality without an active network connection
- Designed scalable schema supporting multi-user extension and future real-time collaboration via WebSockets
AskAI – File-Based AI Query System
- Built a file-ingestion pipeline that chunks uploaded documents and routes multi-question queries to LLMs, returning contextually accurate summarized answers
- Designed extensible retrieval architecture supporting multiple file types (PDF , TXT , DOCX) with configurable chunk size and overlap for improved retrieval precision
- Engineered multi-query workflows enabling repeated queries without re-processing, reducing API token costs through efficient context reuse
- Planned React.js chat-based UI for non-technical users with a well-defined backend API contract
Piston Anomaly Detection System
- Developed a web-based application to detect anomalies in piston images using a Teachable Machine-trained image classification model
- Enabled real-time image input via file upload and camera capture, classifying outputs as ”Normal” or ”Anomaly”
- Integrated the trained model into a Streamlit interface for fast, interactive predictions and usability in manufacturing inspection scenarios
- Focused on practical deployment, ensuring lightweight inference suitable for quick quality checks
Underwater Pipeline Corrosion Detection
- Built a corrosion detection system for underwater pipeline images using a Teachable Machine-based classification model
- Implemented both single-image and batch image analysis for efficient large-scale inspection workflows
- Designed the system to identify and highlight corrosion-affected regions, aiding maintenance and risk assessment
- Deployed an intuitive Streamlit interface enabling non-technical users to perform automated visual inspections
AI Design System — Component Library & Layout Builder
- Designing an AI-friendly React/Next.js component library with standardized design tokens optimized for LLM-based code generation
- Prototyping a canvas-based layout builder enabling drag-and-drop UI composition with export to production-ready JSX/Tailwind code
- Targeting a 60% reduction in design-to-code turnaround by making design intent machine-readable
RAM Monitoring & Optimization Tool
- Developing a lightweight background utility to track real-time RAM usage per process and trigger memory optimization routines
- Designed for performance-sensitive environments with configurable thresholds and automation
- Logs system memory events in JSON format for analysis and performance tuning insights
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
Prompt Optimization Achievement
Developed prompt optimization techniques that reduced computational overhead by 30% while maintaining accuracy.
About Details
Professional Bio
Innovative Front-end Aspirant with over a year of practice in building, optimizing, and maintaining responsive websites. Proficient in HTML, CSS, JavaScript, and React. Passionate about creating seamless user experiences and continuously learning new technologies.
Bachelor’s in Computer Engineering in Computer Engineering
B. H. Gardi College for Engineering and Technology (2023 - 2026)
Diploma in Computer Engineering in Computer Engineering
Sanjay Rajguru Education Zone (2020 - 2023)