Shlok Gupta

SDE-1

Magicine Pharma • Período integral

Jul 2024 - Nov 2025 • 1 yr 4 mos

• Architected and scaled the Globans Pharma platform using Next.js, Node.js, Express, MongoDB, Redis, and FastAPI, applying database indexing, aggregation pipelines, and API-layer caching, which improved average response times by 25% across high-traffic endpoints. • Led frontend development using React.js + Next.js, implementing lazy loading, image optimization, CDN delivery, and secure API routing. Built an end-to-end encryption/decryption workflow where product data is delivered from the backend in encrypted form and decrypted only on the frontend, significantly reducing data scraping risks and enhancing platform security. This contributed to an 18% increase in checkout conversions. • Improved backend efficiency by refactoring Node.js controllers, restructuring service layers, and introducing CRON-based schedulers for automated reporting, cleanup, and batch processing, which boosted reliability and efficiency by 25%. • Enhanced database performance by designing better indexing strategies, optimizing query patterns using .lean() queries and selective projections, and restructuring Mongoose schemas for faster read-heavy operations—leading to a 40% reduction in query time during analytics and product load workflows. • Built internal automation tools using Python + FastAPI + Streamlit to support data validation, admin processing, and analytics dashboards, reducing manual effort across teams by nearly 30%. • Strengthened production stability by resolving hosting, DNS, SSL, and Gateway API configurations, integrating caching and CDN improvements, and ensuring consistent deployment flows, which reduced downtime by 15% and improved release reliability.

Analyst

Deloitte • Período integral

Oct 2023 - Apr 2024 • 6 mos

• Built and enhanced system-critical modules using the MERN stack (Next.js, React, Node.js, Express) with PostgreSQL, incorporating schema validation and integration tests, which improved data accuracy and reduced integration defects by 55%. • Automated repetitive backend workflows using Node.js scripts and integrated them with CI/CD pipelines (GitHub Actions), resulting in a 35% reduction in manual processing time and more stable deployments. • Developed an AI-driven chatbot system using Python, Streamlit, OpenAI Paid API, and HuggingFace Transformers, with batch-query handling and prompt-optimization logic, which reduced support query resolution effort by 60% for internal users. • Optimized backend performance by implementing Redis caching, database indexing, and SQL query optimization, leading to a 35% faster backend response time and improved platform performance. • Designed and scheduled CRON-based background jobs for batch processing, automated reporting, and data cleanup, resulting in a 30% increase in system reliability and processing efficiency. • Collaborated with cross-functional teams to refine API contracts, enforce data standards, and improve integration workflows, contributing to a 25% drop in QA-reported defects and smoother release cycles.