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Software Engineer with 3+ years in AI, Microservices & Data Pipelines
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Software Engineer specialized in leveraging AI, with experience designing scalable microservices, data pipelines, and LLM-powered applications.
Birsa Institute of Technology, Sindri, Dhanbad
Bachelor of Technology
August 1, 2019 – June 30, 2023
Strides Pharma
Software Engineer (Backend + AI)
February 1, 2026 – Present
Bengaluru, Karnataka, India
GlobalLogic India Pvt Ltd
Software Engineer
September 1, 2023 – February 1, 2026
Bengaluru, Karnataka, India
Boffin hive
Gen AI Developer (Contract)
March 1, 2023 – September 1, 2023
Bengaluru, Karnataka, India
Homo Saviour
June 18, 2026 – Present
Developed and Published a healthcare web app using Django and React.js enabling doctor appointments, pathology tests, and ambulance booking which supported 500+ customers during the COVID-19 pandemic, ensuring reliable access to essential services.
View ProjectLearning Path Management System (Generative AI)
June 18, 2026 – Present
Developed a simple web application using React.js that leverages an open-source Large Language Model (LLM) to build a comprehensive knowledge management system based on technical PDFs, articles, and then generate personalized learning paths for user using Lang chain, llama2, Hugging Face Library and Chroma DB.
View ProjectCultural Fit Analysis
The candidate's diverse project experience, including a healthcare web app and a generative AI learning system, shows a breadth of interests and ability to apply skills to different domains. Their experience across multiple companies (Strides Pharma, GlobalLogic, Boffin Hive) and roles (Backend + AI, Software Engineer, Gen AI Developer) indicates adaptability and a willingness to learn new technologies. The focus on AI and scalable systems aligns with a forward-thinking, innovative culture.
Soft Skills & Operational Fit
The candidate's resume indicates strong collaboration skills through working with cross-functional and global teams, participation in code reviews, and contribution to system design discussions. Their experience in debugging production issues and improving system uptime suggests a proactive and problem-solving operational fit. The project 'Homo Saviour' also demonstrates initiative and impact in a real-world scenario.