Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

Full Stack Developer with an MS in Computer Science and 2 years of experience building high-throughput, event-driven distributed systems and reactive web applications. I focus on low-latency data pipelines and p95 performance tuning using Kafka and Kubernetes. I also build production-grade Applied AI solutions, including RAG pipelines and LLM-powered agents, with strong LLMOps practices. I’ve improved system latency by ~40% and accelerated deployment velocity by ~60% through cloud-native, observability-driven engineering.…Full Stack Developer with an MS in Computer Science and 2 years of experience building high-throughput, event-driven distributed systems and reactive web applications. I focus on low-latency data pipelines and p95 performance tuning using Kafka and Kubernetes. I also build production-grade Applied AI solutions, including RAG pipelines and LLM-powered agents, with strong LLMOps practices. I’ve improved system latency by ~40% and accelerated deployment velocity by ~60% through cloud-native, observability-driven engineering.

Sarthak Pal

Full Stack Developer, Web Developer, Back-End Developer, +6





Full Stack Developer with an MS in Computer Science and 2 years of experience building high-throughput, event-driven distributed systems and reactive web applications. I focus on low-latency data pipelines and p95 performance tuning using Kafka and Kubernetes. I also build production-grade Applied AI solutions, including RAG pipelines and LLM-powered agents, with strong LLMOps practices. I’ve improved system latency by ~40% and accelerated deployment velocity by ~60% through cloud-native, observability-driven engineering.…Full Stack Developer with an MS in Computer Science and 2 years of experience building high-throughput, event-driven distributed systems and reactive web applications. I focus on low-latency data pipelines and p95 performance tuning using Kafka and Kubernetes. I also build production-grade Applied AI solutions, including RAG pipelines and LLM-powered agents, with strong LLMOps practices. I’ve improved system latency by ~40% and accelerated deployment velocity by ~60% through cloud-native, observability-driven engineering.

Available to hire

Full Stack Developer with an MS in Computer Science and 2 years of experience building high-throughput, event-driven distributed systems and reactive web applications. I focus on low-latency data pipelines and p95 performance tuning using Kafka and Kubernetes.

I also build production-grade Applied AI solutions, including RAG pipelines and LLM-powered agents, with strong LLMOps practices. I’ve improved system latency by ~40% and accelerated deployment velocity by ~60% through cloud-native, observability-driven engineering.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Language

Aragonese

Advanced

Work Experience

Software Developer Intern at CitiGroup, United States

December 1, 2025 - May 1, 2026

Engineered an end-to-end real-time streaming pipeline by deploying Python producers on Kubernetes to ingest transactional event logs into Apache Kafka; mapped complex data relationships within a Neo4j graph database to accelerate fraud pattern analysis. Designed a decoupled two-tier facial verification system on AWS using Amazon SQS to buffer requests between an EC2 web tier and an Inception-ResNet-V1 inference backend, maintaining stability during traffic spikes. Developed a high-performance Apache Spark analytics application in Scala to execute complex spatiotemporal UDFs and Getis-Ord Gi* hotspot detection, processing a 400-million-row dataset to deliver optimized regional resource maps.

Software Developer Intern at CitiGroup

December 1, 2025 - May 1, 2026

Engineered an end-to-end real-time streaming pipeline by deploying Python producers on Kubernetes to ingest transactional event logs into Apache Kafka, mapping complex data relationships within a Neo4j graph database to accelerate fraud pattern analysis. Designed a decoupled facial verification system on AWS utilizing SQS to buffer requests between the EC2 web tier and an Inception-ResNet-V1 inference backend, maintaining stable response times during traffic spikes. Developed a high-performance Apache Spark analytics application in Scala to execute complex spatiotemporal UDFs and Getis-Ord Gi* hotspot detection, processing a 400-million-row dataset to deliver optimized regional resource maps.

Software Developer at Beganto Software Systems, India

December 1, 2022 - December 1, 2023

Developed and integrated GPT-3.5 Turbo into a U.S.-based employee training SaaS platform to automate personalized training content generation and improve delivery efficiency. Designed and implemented a secure document management system using Laravel and SQL to enable client uploads, storage, and processing for AI-driven training customization. Led full-stack feature development and UI enhancements using React to improve responsiveness and user experience. Architected a prompt dashboard to reduce prompt management time by 50% and enable prompt tweaking and testing. Built a robust REST API framework using Node.js/Express and integrated Redis for distributed caching, reducing server response times by 60% for high-traffic endpoints. Engineered a cross-platform React Native mobile application with offline-first synchronization and 60fps animations, reaching 100k+ downloads.

Software Developer at Beganto Software Systems

December 1, 2022 - December 1, 2023

Developed and integrated GPT-3.5 Turbo into a U.S.-based employee training SaaS platform, automating personalized training content generation. Designed and implemented a secure document management system using Laravel and SQL for AI-driven training customization. Led full-stack feature development and UI enhancements with React to improve responsiveness. Architected a prompt dashboard reducing prompt management time by 50% and enabling testing tweaks. Built a robust RESTful API framework using Node.js/Express.js with Redis caching, cutting server response times for high-traffic endpoints by 60%. Implemented a cross-platform mobile app with React Native achieving 100k+ downloads with strong offline data synchronization.

Data Science Intern at Paytm, India

August 1, 2022 - November 1, 2022

Analyzed large-scale customer and transaction datasets using PySpark, Python, and SQL to identify behavioral trends and opportunities for product and operational improvement. Created actionable insights on customer engagement and transaction patterns to support business decision-making. Collaborated with data engineers and analysts to optimize ETL workflows. Designed and deployed an NLP-based sentiment analysis pipeline using spaCy and TensorFlow to automate customer feedback categorization and increase support ticket resolution efficiency by 40%.

Data Science Intern at Paytm

August 1, 2022 - November 1, 2022

Analyzed large-scale customer and transaction datasets using PySpark, Python, and SQL to uncover behavioral trends and opportunities for product and operational improvement. Created actionable insights for business teams to drive data-driven decisions. Collaborated with data engineers to optimize ETL workflows. Designed and deployed an NLP-based sentiment analysis pipeline using spaCy and TensorFlow, automating customer feedback categorization and increasing support ticket resolution efficiency by 40%.