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Hi, I’m Satvika Eda — an AI/ML engineer and software developer who loves turning complex problems into scalable, real-world solutions. I’ve built end-to-end AI systems, multi-agent workflows, and cloud-based pipelines for enterprise and fintech environments, always focusing on robustness, maintainability, and measurable impact. I thrive when collaborating with product, design, and operations teams to deliver practical AI-driven outcomes. I’m passionate about responsible AI, clean architecture, and continuous learning. My work spans AI chatbots, automated SDK upgrades, real-time perception systems, and data-driven decision support. I enjoy exploring new technologies, sharing knowledge across teams, and taking on challenging problems with curiosity and a customer-first mindset.…Hi, I’m Satvika Eda — an AI/ML engineer and software developer who loves turning complex problems into scalable, real-world solutions. I’ve built end-to-end AI systems, multi-agent workflows, and cloud-based pipelines for enterprise and fintech environments, always focusing on robustness, maintainability, and measurable impact. I thrive when collaborating with product, design, and operations teams to deliver practical AI-driven outcomes. I’m passionate about responsible AI, clean architecture, and continuous learning. My work spans AI chatbots, automated SDK upgrades, real-time perception systems, and data-driven decision support. I enjoy exploring new technologies, sharing knowledge across teams, and taking on challenging problems with curiosity and a customer-first mindset.

Satvika Eda

AI Engineer, Data Scientist, Full Stack Developer, +2

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Hi, I’m Satvika Eda — an AI/ML engineer and software developer who loves turning complex problems into scalable, real-world solutions. I’ve built end-to-end AI systems, multi-agent workflows, and cloud-based pipelines for enterprise and fintech environments, always focusing on robustness, maintainability, and measurable impact. I thrive when collaborating with product, design, and operations teams to deliver practical AI-driven outcomes. I’m passionate about responsible AI, clean architecture, and continuous learning. My work spans AI chatbots, automated SDK upgrades, real-time perception systems, and data-driven decision support. I enjoy exploring new technologies, sharing knowledge across teams, and taking on challenging problems with curiosity and a customer-first mindset.…Hi, I’m Satvika Eda — an AI/ML engineer and software developer who loves turning complex problems into scalable, real-world solutions. I’ve built end-to-end AI systems, multi-agent workflows, and cloud-based pipelines for enterprise and fintech environments, always focusing on robustness, maintainability, and measurable impact. I thrive when collaborating with product, design, and operations teams to deliver practical AI-driven outcomes. I’m passionate about responsible AI, clean architecture, and continuous learning. My work spans AI chatbots, automated SDK upgrades, real-time perception systems, and data-driven decision support. I enjoy exploring new technologies, sharing knowledge across teams, and taking on challenging problems with curiosity and a customer-first mindset.

Available to hire

Hi, I’m Satvika Eda — an AI/ML engineer and software developer who loves turning complex problems into scalable, real-world solutions. I’ve built end-to-end AI systems, multi-agent workflows, and cloud-based pipelines for enterprise and fintech environments, always focusing on robustness, maintainability, and measurable impact. I thrive when collaborating with product, design, and operations teams to deliver practical AI-driven outcomes.

I’m passionate about responsible AI, clean architecture, and continuous learning. My work spans AI chatbots, automated SDK upgrades, real-time perception systems, and data-driven decision support. I enjoy exploring new technologies, sharing knowledge across teams, and taking on challenging problems with curiosity and a customer-first mindset.

Skills

Experience Level

Expert

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Intermediate

Work Experience

ML Engineer Intern at Dassault Systèmes

December 1, 2024 - December 1, 2024

Designed and deployed an AI-driven chatbot leveraging LangGraph Agents to dynamically route REST API queries, automating 80% of project planning workflows and improving operational scalability. Built a multi-agent routing framework with an entry-point agent interpreting user intent and delegating tasks to specialized downstream agents, achieving 95% routing accuracy and end-to-end autonomous query handling. Engineered a Task Decomposition System using LangChain and LangGraph, improving project management efficiency by 30% and reducing manual workload by 40% through advanced multi-agent orchestration.

Software Engineer at JPMorgan Chase & Co.

August 1, 2023 - August 1, 2023

Granted patent for a platform- and language-agnostic smart SDK upgrade module and developed automation workflows to upgrade JDKs. Led AWS PoC development for data-centers, documented guidance for 500 product teams, and launched a JDK automation tool with telemetry integrated into CI/CD used by 45+ products.

Software Engineer Intern at JPMorgan Chase & Co.

July 1, 2021 - July 1, 2021

Deployed 10+ scalable Java microservices on private cloud with unit tests aligned to functional and business requirements; built utilities to drive production efficiency and cost reduction in SDL C and Agile environments.

Stroke-Based and Free-Form Image Colorization (Project) at Independent Project

April 1, 2025 - April 1, 2025

Developed end-to-end image colorization pipeline using stroke-based techniques across grayscale images; compared Autoencoder, U-Net, Hybrid ResNet18-UNet, GAN, and Stable Diffusion; built a stroke-generation dataset and integrated ControlNet with Stable Diffusion to enable stroke-guided colorization.

Multi Agent Code Development Team (Project) at Independent Project

April 1, 2025 - April 1, 2025

Built a modular multi-agent system for code generation using specialized LLMs (Planner, Chain-of-Thought, Developer, Debugger, Explainer); performed teacher-student transfer learning on Qwen2.5-0.5B to Qwen2.5-7B; integrated RLHF and RL AIF with a custom reward model and PPO to improve code quality; designed UI for user feedback and conducted A/B testing.

RAG-based Chatbot for Document Querying (Project) at Independent Project

June 1, 2024 - June 1, 2024

Deployed LangChain for PDF data extraction; used OpenAI embeddings and ChromaDB to accelerate data retrieval; built a Streamlit UI for interaction and refined responses with GPT-4.

Accelerated Web Development via LLM Fine-Tuning and Prompt Engineering (Project) at Independent Project

April 1, 2024 - April 1, 2024

Fine-tuned and trained LLMs (Falcon, Llama, CodeLlama) on web-crawled datasets; produced personalized web pages, reduced development time and improved user retention by 15% through optimization and CUDA-accelerated HTML/CSS output.

Software Engineer at JPMorgan Chase

August 1, 2021 - August 1, 2023

Engineered and deployed a language-agnostic smart SDK upgrade module, resulting in a patent (12223309) and increasing successful SDK upgrades by 15% without manual intervention by customers. Automated JDK upgrades by crafting recipes; contributed to Open Rewrite open-source software development for over 100 products with 90% of upgrades automated in the organization. Led the design, development workflow and publication of AWS proof-of-concept applications in data centers, sharing knowledge with 500+ product teams with Confluence documentation. Launched a JDK automation tool with telemetry integrated in the pipeline to facilitate stable version migrations used by over 45 products. Structured AWS projects such as Amazon S3 utility with comprehensive reporting on bucket and object information, benefiting ~470 products.

Software Engineer Intern at JPMorgan Chase

March 1, 2021 - July 1, 2021

Operationalized 10+ scalable Java microservices with unit testing and database on private cloud operations to meet functional and business requirements. Initiated a suite of utilities, including a Light Switch utility using shell scripting, cutting downtime by 70% and resulting in 500 lines of code. Collaborated with cross-functional teams across five lines of business to gather requirements and implement solutions with SDL C and Agile Development Projects. Projects included Predicting Loan Payback Model with Stacked Ensemble using Gradient Boosting.