Gurgaon, India
📞 +91-8707602949
📧 ritik.connects@hotmail.com
🔗 LinkedIn: https://www.linkedin.com/in/ritik-panday-45a040166/

Backend-focused Full Stack Developer with 4+ years of experience building scalable, high-performance systems using Python, FastAPI, Node.js, React, MongoDB, and PostgreSQL. Currently working at Fractal Analytics on enterprise healthcare and pharma platforms for Fortune 10/50 clients. Strong track record in API performance optimization, LLM-backed workflow systems, compliance-grade auditability, and CI/CD excellence.

JavaScript, TypeScript, React.js, Redux, Node.js, Express.js, Python, Django, FastAPI, Microservices, MongoDB, PostgreSQL, MySQL, Snowflake, AWS, Azure, Docker, CI/CD, Git, SonarQube, Python Libraries

Fractal Analytics | Apr 2024 – Present

• Core backend developer for a pharma pricing analytics platform that analyzes historical product and customer-deal data across branded and generic medicines.
• Built deal → session → scenario workflow and forecasting features using FastAPI + MongoDB, enabling pricing teams to model and compare multiple offer scenarios per deal.
• Optimized a critical MongoDB aggregation from 20–25s to ~2s (>90% improvement) through pipeline redesign and indexing.
• Reduced average API response time by 40% using async Python processing.
• Achieved 100% Pytest coverage on owned services.
• Built CI/CD pipelines enabling reliable zero-downtime production deployments.
• Used Databricks for large historical pricing data exploration and validation.
• Delivered end-to-end features by integrating backend services with React.js frontends in Agile teams.

• Building backend services for an AI assistant that automates pre-call prep, live in-call Q&A, and post-call summaries synced to Salesforce CRM.
• Developed Python middleware with WebSocket real-time chat, SSO/OAuth authentication, and RBAC.
• Implemented PostgreSQL as compliance-ready source of truth for all interactions.
• Built LLM-powered workflows orchestrated via Temporal using HCP/prescriber data from Snowflake.
• Added prompt engineering, LLM observability, and cost tracking via Langfuse.
• Implemented regulatory-grade audit logging with SQS-based pipelines for full traceability of AI interactions.

Think Future Technologies | Jan 2022 – Apr 2024

• Developed and maintained full-stack web applications using React.js, Node.js, Express.js, MongoDB, and MySQL; improved app responsiveness by 20%.
• Built and enhanced Chrome extensions (including Self.best) with JavaScript, TypeScript, Angular, and Chrome Extension APIs; increased user engagement by 30%.
• Designed REST APIs and real-time analytics data pipelines.
• Added Redis caching and tuned AWS/Azure infrastructure to reduce backend latency for streaming workloads.
• Integrated third-party services and libraries to reduce page load times by 25%.
• Collaborated cross-functionally to refine requirements and reduce user-reported issues by 15%.
• Wrote unit and integration tests to maintain production-grade quality.

• Spot Award, Fractal Analytics (May 2025) — End-to-end ownership of Submit Seal Feature and resolution of critical backend blocker before client deadline.
• Peer Recognition Awards, Fractal Analytics (Feb & Mar 2025) — Recognized in consecutive months for cross-team collaboration and integration impact.

Madan Mohan Malaviya University of Technology (MMMUT) — 2021
Master of Computer Applications (MCA)

Shri Ramswaroop Memorial University (SRMU) — 2017
Bachelor of Computer Applications (BCA)

Open to Backend / Full Stack roles focused on:

• Scalable backend architecture
• AI-enabled product development
• Performance optimization
• Cloud-native microservices