Ayush Bhanu

Software Engineer

India5 yrs 11 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Reduced diagnosis time by 75% in HDD production.
Engineered ML solutions that eliminated manual tasks.
Streamlined insurance processes, cutting time by 90%.

Stackforce AI infers this person is a Backend Developer with expertise in Cloud Technologies and AI solutions.

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Skills

Core Skills

Backend DevelopmentCloud TechnologiesGenai & Ml

Other Skills

AWS BedrockAWS LambdaAdvanced Operating SystemsAlgorithm DesignAndroid DevelopmentAndroid StudioCC++Cascading Style Sheets (CSS)Chrome ExtensionsData ScienceData StructuresDockerEKSEclipse

About

I am a software engineer with a strong foundation in backend development, cloud technologies, and generative AI. With hands-on experience in building scalable and maintainable applications, I specialise in designing robust systems using Java, Python, and modern cloud-native stacks. My work spans across: ⚙️ Backend Development: REST APIs, Spring Boot, Flask, Security & Authentication ☁️ Cloud & DevOps: AWS (Lambda, S3, Bedrock), Docker, Kubernetes, EKS 🧠 GenAI & ML: LangChain, LLMs, FAISS, Sentence Transformers 📊 Data & Optimization: MySQL, MongoDB, Redis, hyperparameter tuning for ML workflows I've led the end-to-end development of AI-powered systems, optimized data pipelines, and engineered automation solutions that drastically improved performance and reduced manual effort. I'm passionate about crafting clean, testable, and scalable code using best practices and proven design patterns. 🎓 With a strong academic background in computer science from BITS PILANI and a problem-solving mindset, I'm always eager to explore new technologies and contribute to impactful solutions. 📬 Reach out: ayushbhanu07@gmail.com | linkedin.com/in/ayushbhanu07

Experience

Western digital

2 roles

Senior Engineer

Oct 2023 – Present · 2 yrs 5 mos

●Developed an end to end application to streamline failure analysis of the Hard-Disk Drive production, reducing diagnosis time by 75%. Design and implement spring boot applications consist of REST APIs with AWS Lambda functions that invoke an LLM model from AWS Bedrock to generate contextual responses within the Retrieval-Augmented Generation (RAG) pipeline.
●Designed and built a structured knowledge base on S3 for failure data for RAG pipeline, enabling efficient retrieval and data-driven decision-making.
●Leveraged industry-standard design patterns (Factory, Singleton, Builder) and best coding practices to develop a highly maintainable, scalable, and testable codebase, enhancing system efficiency and long-term reliability.
●Technologies used : Java,Python,Spring Boot, Mysql,Aws lambda,Aws bedrock,S3,Docker,EKS,Kubernetes
●Engineered an ML powered recommendation engine using the FAISS algorithm, which streamlines the quotation
process for the factory team by eliminating manual tasks entirely by 100%. Optimized data pipelines through advanced
hyper-parameter tuning, accelerating model training and execution from 1 hour to just 10 minutes, achieving a cost reduction by 40%.
●Additionally, developed a customized workflow plugin to dynamically visualize quotation rates from historical supplier
data, enabling data-driven decision-making and significantly enhancing operational efficiency.
●Technologies used : Python, S3,Javascript,Flask,Dataiku,scikit-learn,Faiss, Mysql, Sentence Transformer.

JavaPythonSpring BootMySQLAWS LambdaAWS Bedrock+8

Intern

Jan 2023 – Jun 2023 · 5 mos · Hybrid

Department of csis bits pilani goa campus

Teaching Assistant

Mar 2021 – Dec 2022 · 1 yr 9 mos · Goa, India

Globallogic

Senior Software Engineer

Jul 2019 – Sep 2021 · 2 yrs 2 mos · Noida, Uttar Pradesh, India

● Designed and developed a comprehensive insurance management application, streamlining the end-to-end insurance application and claims process. Implemented key features such as claim request submission, approval workflows, and attachment management, reducing the overall insurance procedure time by 90%.
●Built and optimized REST APIs covering key functionalities like document uploads, user and claim management, and integrated Redis caching to enhance performance and data retrieval efficiency.
●Implemented secure access control and automated notifications, including role-based authentication for different stakeholders and an email notification system to keep users informed about policy document completion and claim updates, ensuring seamless communication and operational transparency.
Technologies used : Java,SpringBoot,Mysql,Spring Security,MongoDB,React.

JavaSpring BootMySQLSpring SecurityMongoDBReact+1