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

AI Software Engineer with 4+ years of experience building and scaling production-grade applications using large language models and distributed systems, currently working on AI-driven solutions in financial services. Strong hands-on experience with RAG pipelines, vector search, and data engineering workflows to solve enterprise problems. Known for translating ambiguous requirements into reliable, high-performance systems. Experienced across backend and full-stack development (Python, Node.js, React) and deploying scalable services on AWS/GCP using Docker, Kubernetes, and microservices, with measurable impact on efficiency, latency, and usability.…AI Software Engineer with 4+ years of experience building and scaling production-grade applications using large language models and distributed systems, currently working on AI-driven solutions in financial services. Strong hands-on experience with RAG pipelines, vector search, and data engineering workflows to solve enterprise problems. Known for translating ambiguous requirements into reliable, high-performance systems. Experienced across backend and full-stack development (Python, Node.js, React) and deploying scalable services on AWS/GCP using Docker, Kubernetes, and microservices, with measurable impact on efficiency, latency, and usability.

Pratyush Jena

AI Engineer, AI Developer, Full Stack Developer, +4





AI Software Engineer with 4+ years of experience building and scaling production-grade applications using large language models and distributed systems, currently working on AI-driven solutions in financial services. Strong hands-on experience with RAG pipelines, vector search, and data engineering workflows to solve enterprise problems. Known for translating ambiguous requirements into reliable, high-performance systems. Experienced across backend and full-stack development (Python, Node.js, React) and deploying scalable services on AWS/GCP using Docker, Kubernetes, and microservices, with measurable impact on efficiency, latency, and usability.…AI Software Engineer with 4+ years of experience building and scaling production-grade applications using large language models and distributed systems, currently working on AI-driven solutions in financial services. Strong hands-on experience with RAG pipelines, vector search, and data engineering workflows to solve enterprise problems. Known for translating ambiguous requirements into reliable, high-performance systems. Experienced across backend and full-stack development (Python, Node.js, React) and deploying scalable services on AWS/GCP using Docker, Kubernetes, and microservices, with measurable impact on efficiency, latency, and usability.

Available to hire

AI Software Engineer with 4+ years of experience building and scaling production-grade applications using large language models and distributed systems, currently working on AI-driven solutions in financial services. Strong hands-on experience with RAG pipelines, vector search, and data engineering workflows to solve enterprise problems.

Known for translating ambiguous requirements into reliable, high-performance systems. Experienced across backend and full-stack development (Python, Node.js, React) and deploying scalable services on AWS/GCP using Docker, Kubernetes, and microservices, with measurable impact on efficiency, latency, and usability.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

English

Advanced

Work Experience

AI Software Engineer at Charles Schwab

July 1, 2024 - Present

Built LLM-based applications using LangChain and OpenAI APIs to automate financial workflows, reducing manual effort by 30% and improving response time. Implemented RAG pipelines with Pinecone, pgvector, and embedding workflows for accurate enterprise search and improved answer quality, reducing repeat queries by 25%. Deployed AI applications on AWS and GCP using Docker, Kubernetes, and CI/CD with monitoring, improving uptime and reducing release cycles from days to hours. Developed RESTful APIs and FastAPI services to integrate LLM systems with legacy platforms, enabling near real-time processing and reducing latency by 40%. Added validation layers, guardrails, and data controls to improve reliability and meet compliance requirements, reducing incorrect responses by 30%. Built PySpark/Kafka/Airflow pipelines for embeddings at scale, reducing processing time by 35% and improving model readiness.

Software Developer at HighRadius

June 1, 2021 - May 1, 2022

Developed ReactJS modules for a Fintech SaaS application using Redux-Saga for async state management, improving a responsive user experience. Implemented backend services with Django during a Spring Boot/Hibernate migration and optimized PostgreSQL (AWS RDS) with indexing and query tuning for scalable operations. Integrated Redis caching to reduce database load and improve response times for high-traffic endpoints by 30%. Built reusable frontend components and RESTful APIs, owning end-to-end feature delivery. Refactored for modularity, scalability, and performance, improving responsiveness and reducing memory usage. Added automated tests using Jest and Supertest to improve API reliability and reduce regression issues during releases.

Software Developer at R-Financial

January 1, 2020 - May 1, 2021

Built and styled responsive web pages using Django, HTML5, and JavaScript, improving usability across devices and increasing engagement. Refactored MongoDB queries to optimize database access patterns, reducing response times and improving overall performance. Developed RESTful APIs using Node.js and Express to support scalable backend operations and streamline CRUD workflows. Introduced automated API testing using Jest and Supertest to reduce manual QA effort and improve release efficiency.