May 2026 – Present · 0 mo

Nov 2023 – Apr 2026 · 2 yrs 5 mos

• As a Software Development Engineer - II at PeopleStrong, I focused on delivering AI-driven solutions and scalable backend systems within the HR Tech domain. My work bridged backend engineering with Java and Spring, alongside leveraging Python for machine learning and NLP-driven applications. I took ownership of complex infrastructure challenges, leveraging enterprise Google Cloud tools and multi-agent AI architectures to modernize and scale recruitment workflows.
• Key Achievements:
• Built the "AI Co-Recruiter": Engineered a multi-agent LLM orchestrator to automate recruitment tasks, implementing specialized sub-agents for intelligent candidate screening, RAG, and seamless interview scheduling.
• Architected High-Throughput CDC Pipelines: Managed large-scale data synchronization using Kafka and Debezium, and scaled the data enrichment project via GCP Pub/Sub and Cloud Run.
• Enhanced Conversational AI: Upgraded the HR Tech chatbot by integrating a transformers-based multilingual model, significantly improving query resolution and boosting accuracy from 70% to 92%.
• Advanced NLP Matchmaking: Developed a highly efficient Job Description-Candidate Resume (JDCV) matchmaking system that achieved 90% accuracy, streamlining candidate-job alignment.
• Technical Skills:
• Java | Spring | Python | Multi-Agent LLMs & RAG | Google Cloud (Pub/Sub, Cloud Run) | Kafka | Debezium | Elasticsearch | MySQL | MongoDB

Jul 2022 – Oct 2023 · 1 yr 3 mos

• As a Software Development Engineer - I at PeopleStrong, I was involved in building and optimizing scalable solutions, focusing on automation and process efficiency. My responsibilities included backend development using Java and Spring, with additional contributions in Python for specialized frameworks and automation tasks. I worked extensively with MySQL, MongoDB, and Elasticsearch to manage data and implement search functionality.
• Key Achievements:
• Reduced manual customer onboarding efforts of COTs by 80% by automating the configuration and setup process, significantly improving operational efficiency.
• Eliminated manual intervention entirely (100%) for creating FAQs for customers by developing a self-service DIY portal, empowering users and enhancing customer experience.
• Designed and implemented a centralized Python framework for language model completions, streamlining operations, reducing redundancy, and promoting better documentation and cross-team collaboration.
• Technical Skills:
• Java | Spring | Python | MySQL | MongoDB | Elasticsearch

Jan 2022 – Jul 2022 · 6 mos

• During this 6-month internship, I worked as a Trainee Associate Software Engineer, gaining hands-on experience in both backend and frontend technologies. My responsibilities involved developing and maintaining applications using Java and Spring Boot, along with building user interfaces with AngularJS. I was actively involved in designing and integrating RESTful APIs to ensure seamless communication between services.
• Additionally, I worked with various databases, including MongoDB, Redis, and SQL databases, to manage and optimize data storage and retrieval. I also utilized Elasticsearch for implementing efficient search functionality and applied version control best practices to manage code using Git.
• Throughout the internship, I developed a solid foundation in Python programming and gained practical exposure to Spring MVC architecture.