Abhishek Panda
Software Engineer (Backend)
Bengaluru
2+ years of work experience
Jul 20265 mosPresent
Remote
Working on full-stack engineering across chess technology platforms, focusing on backend services, data pipelines, integrations, and AI-assisted workflows.
• Developing full-stack features using Next.js, Python, and Supabase, contributing to application development, testing, and production debugging.
• Building Python-based data ingestion and scraping pipelines for chess players, academies, tournaments, and registration data.
• Developing AI-assisted tournament brochure extraction workflows using Gemini to convert unstructured documents into structured records.
• Implementing FIDE ID normalization, validation, and player-matching workflows to improve data consistency across chess ecosystems.
• Integrating AiSensy WhatsApp messaging for participant communications, organizer workflows, and tournament notifications.
• Working on multicamera live-streaming infrastructure and video-processing workflows for chess tournaments.
• Designed and built ChessBuzz, a chess community feature with player profiles, tournament achievements, and game histories.
Sep 20258 mosApr 2026
New Brunswick, New Jersey, United States
• Developed and enhanced backend services and REST APIs using Node.js and Python to support application workflows and feature delivery.
• Contributed to full-stack feature implementation and collaborated across teams to improve system functionality and usability.
• Debugged and optimized existing systems, improving performance and reliability.
Sep 20241 yr 1 moSep 2025
New Brunswick, New Jersey, United States
I work as a backend engineer responsible for designing, developing, and maintaining cloud-native microservices and distributed data pipelines that support real-time AI and scientific workflows. I’m in charge of building scalable REST APIs, integrating ML/LLM capabilities into production systems, and ensuring high availability and reliability across multiple environments. My role includes managing Kafka–Redis pipelines for real-time data processing, deploying ML models with MLflow, implementing secure access control (OAuth2/JWT/RBAC), and overseeing CI/CD and Kubernetes based deployments. I also collaborate with data, platform, and research teams to ensure our services remain performant, observable, and aligned with evolving product requirements.
May 20194 mosAug 2019
Mumbai, Maharashtra, India
Supported the credit-risk engineering team by automating ETL workflows, integrating ML scoring models, and improving real-time credit assessment pipelines across 2M+ customer records. Worked across data engineering, analytics, and model-integration tasks, contributing to better loan decisioning, reporting efficiency, and system accuracy within regulated banking workflows.
Abhishek’s AI Stack
Education
Master's degree, Computer Science
Rutgers University–New Brunswick
20222 yrs2024
B.E., Computer Science
University of Mumbai
20184 yrs2022
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