Chaitanya Pandey
Open to work0 years experienceComputer Science undergraduate
Computer Science undergraduate specializing in AI systems, backend engineering, and developer tooling.
Standing Rank
Rank Not Available
Developer Badges
Badges Pending
Skills & Technologies
41 skillsWork Experience
Engineering Intern
Tata Motors Limited
- Built a real-time safety analytics dashboard aggregating and visualizing operational incident data for internal monitoring workflows.
- Automated ingestion and reporting pipelines, reducing manual reporting overhead and improving traceability across multi- source safety logs.
- Integrated centralized data processing workflows to improve incident auditing and reporting consistency.
Database Engineering Intern
Scalability Engineering
- Optimized Microsoft SQL Server queries through indexing and query restructuring, reducing execution time by approximately 40%.
- Redesigned database schemas to improve scalability, consistency, and production data integrity.
- Worked on enterprise-scale database operations, query tuning, and backend performance optimization.
Projects
Code Atlas
- Engineered a multi-language parsing engine using Tree-sitter and NetworkX to construct AST-driven dependency graphs for large repositories.
- Developed automated frontend-to-backend API linkage detection across JavaScript/TypeScript and Python services.
- Implemented a hybrid RAG pipeline using FAISS and sentence-transformers to enable semantic code search and context- aware AI reasoning.
EL-GAN
- Engineered a lightweight GAN for low-light enhancement achieving PSNR 18.56 and SSIM 0.74 on the LOL benchmark.
- Built a RAW image processing pipeline supporting high-exposure amplification and domain adaptation for near-zero visibility scenes.
- Optimized a multi-stage adversarial training pipeline combining perceptual refinement and specialized loss functions for texture preservation.
Nutri-Verify
- Developed a multimodal AI pipeline combining computer vision, RAG, and local LLM inference to audit food labels against FSSAI standards.
- Implemented domain-specific retrieval systems using ChromaDB and sentence-transformers across regulatory and nutritional datasets.
- Built hallucination-constrained report generation workflows using local Llama models for deterministic compliance analysis.
AI-QKD Privacy Simulator
- Implemented the BB84 Quantum Key Distribution protocol with noise modeling and intercept-resend attack detection.
- Developed TensorFlow-based predictive models to estimate channel reliability and optimize reconciliation workflows.
- Integrated differential privacy mechanisms using Diffprivlib to secure simulation analytics and operational metadata.
Code Converter
- Architected a decoupled microservices system enabling bidirectional Java ↔ Python code translation workflows.
- Integrated Gemini-based inference pipelines for syntactically accurate code conversion and contextual explanations.
- Developed a responsive Next.js frontend with optimized API communication and syntax visualization.
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
Achievements Not Earned
Special rewards, developer badges, system recognition certificates, and conceptual milestones will display here.
About Details
Professional Bio
Computer Science undergraduate specializing in AI systems, backend engineering, and developer tooling. Experienced in building production-style systems involving RAG, local LLM inference, computer vision, and microservices architectures.
B.Tech in Computer Science & Engineering in Computer Science & Engineering
Vellore Institute of Technology (VIT), Vellore (2022 - 2026)