Prakash Choudhary

CTO

Bengaluru, Karnataka, India6 yrs 1 mo experience

Most Likely To SwitchHighly Stable

Key Highlights

Reduced RFP turnaround time by 96% with Generative AI.
Developed zero-downtime migration utility for Exadata.
Trained over 300 engineers, improving customer satisfaction.

Stackforce AI infers this person is a SaaS and Fintech expert with strong capabilities in automation and AI-driven solutions.

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Skills

Core Skills

JavaGenerative AiMachine LearningBlockchain Security

Other Skills

3D Computer Aided Design (3D CAD)Agile MethodologiesApplication Programming Interfaces (API)ArduinoAutodesk InventorBack-End Web DevelopmentBitcoin CoreBlockchainCC++Cloud AutomationCloud InfrastructureComputer NetworkingContainerizationCryptographic Algorithms

About

Software Engineer with 3+ years of experience delivering automation and AI-driven solutions that cut costs and improve efficiency at scale. At Oracle, I’ve built enterprise tools like a zero-downtime Exadata migration utility (95% less manual effort, weeks-to-hours migrations) and RAPID RFP, a Generative AI-powered platform that reduced RFP turnaround time by 96% and saved over $500K annually. Skilled in Java, Python (FastAPI), ReactJS, OCI, and GenAI technologies, I specialize in translating complex requirements into scalable, high-performance systems. My experience spans full-stack development, distributed systems, and Generative AI pipelines (RAG, vector databases, LLMs). I thrive in environments that value innovation, measurable impact, and technical leadership. Always open to opportunities where technology can solve big problems and drive business success. Core Skills: Java | API Developmenet | Python | ReactJS | FastAPI | Generative AI | RAG | LLMs | Vector Databases | Distributed Systems | OCI

Experience

Oracle

2 roles

Senior Member of Technical Staff

Promoted

Sep 2024 – Present · 1 yr 6 mos

At Oracle, I’ve had the opportunity to design and deliver enterprise-scale automation and AI-driven platforms that directly improve efficiency, reduce costs, and accelerate innovation for global customers.
One of my most impactful projects was building a zero-downtime Exadata Cloud migration utility, enabling end-to-end migrations with 95% less manual effort and reducing migration cycles from weeks to hours. This tool, packaged as a GraalVM native binary, streamlined onboarding, supported fleet-wide migrations, and significantly cut setup time. By training 300+ Oracle engineers and driving adoption, it has helped improve customer satisfaction and reduce support tickets by 40%.
I also spearheaded the development of RAPID RFP, a Generative AI-powered automation platform that reduced RFP turnaround time by 96%, saving over $500K annually. Leveraging a custom RAG pipeline, Oracle 23ai Vector Database, Cohere embeddings, and LLMs, I built a full-stack system that delivers high-accuracy, context-aware responses. Continuous ingestion crawlers and feedback-driven iterations improved usability and accuracy, securing strong adoption across sales teams and executives.
These experiences have not only strengthened my expertise in Java, Python (FastAPI), ReactJS, and OCI, but also deepened my passion for building scalable, high-impact systems that combine automation, AI, and distributed architectures to solve complex enterprise challenges.
Key Competencies: Cloud Automation | Generative AI (RAG, LLMs, Vector Databases) | Full-Stack Development | Distributed Systems | OCI

JavaPythonFastAPIReactJSOCIGenerative AI+4

Member Of Technical Staff

Jul 2022 – Sep 2024 · 2 yrs 2 mos

Bytelearn.com

Software Engineer Intern

Feb 2022 – Jul 2022 · 5 mos · Remote

During my internship at ByteLearn.com, I contributed to the development of an AI-driven interactive chatbot designed to assist learners with math problems. My role went beyond coding, I focused on building a tool that enhanced the learning experience by streamlining backend processes using Python scripts and Jinja templates, achieving a 30% reduction in response times during peak hours.
Working closely with the team, I integrated machine learning algorithms into the framework, making the user experience more intuitive and effective. Additionally, I implemented thorough testing processes that improved interaction quality and resulted in a 20% decrease in user queries about functionality.
This experience reinforced my passion for creating scalable, learner-focused solutions that combine technical innovation with real-world impact.
Key Competencies: Machine Learning Integration | Backend Development | User Experience Design

PythonMachine Learning

Summer of bitcoin

Bitcoin Core Intern

Jul 2021 – Sep 2021 · 2 mos

During my internship with Summer of Bitcoin, I contributed to enhancing the security and reliability of Bitcoin Core by implementing differential fuzz tests across cryptographic components such as ChaCha20 and Poly1305. This work involved comparing outputs across implementations in C and C++ to identify potential inconsistencies and strengthen resilience against edge cases.
In addition to coding, I collaborated with core developers by reviewing, testing, and rebasing feature PRs, helping accelerate their path to merge. My contributions provided valuable insights into Bitcoin’s consensus mechanism, P2P protocol, and blockchain security fundamentals, while improving testing coverage for critical cryptographic modules.
This experience gave me hands-on exposure to large-scale open-source collaboration, reinforced my skills in fuzz testing and cryptography, and deepened my interest in building secure, high-performance systems.
Key Competencies: Blockchain Security | Cryptographic Algorithms | Fuzz Testing | Open Source Collaboration

CC++Cryptographic AlgorithmsFuzz TestingBlockchain Security