Biswajit Nath | Software Engineer | AI Engineer | Java, Spring Boot & React Developer
Biswajit Nath — Software Engineer & AI Engineer based in Pune, India. 8+ years building enterprise distributed systems with Java, Spring Boot, React, Apache Kafka, Solr, Snowflake, Angular, and LLM-powered applications.
Staff Software Engineer I — Software Engineer & AI Engineer
Software Engineer & AI Engineer building systems that ingest 1M+ events/second and search TB-scale data in under 2 seconds. 8+ years shipping distributed infrastructure — Java, Spring Boot, Solr, Kafka, Snowflake, Spark, React, LLM/AI. Currently shaping the search & storage architecture for a SIEM platform serving 300+ enterprises.
Location: Pune, India
Experience: 8+ years in enterprise distributed systems, search infrastructure, and AI/LLM applications
Core expertise: Java, Spring Boot, Apache Kafka, Apache Solr, Snowflake, React, TypeScript, Microservices, System Design, LLM Engineering, Prompt Engineering, RAG
Open to: Software Engineering, AI Engineering, Full Stack Development opportunities
Work Experience
Staff Software Engineer I at Securonix India Pvt. Ltd
Promoted to Staff Software Engineer I, contributing to platform-wide technical direction and participating in cross-team architectural decisions for the core SIEM platform. Setting engineering standards, participating in design reviews, and mentoring senior engineers across the platform.
Skills: Java, Spring Boot, Solr, Snowflake, Kafka, Spark, Microservices, System Design, AWS, REST APIs, CI/CD
Sr. Software Engineer at Securonix India Pvt. Ltd
Led feature development for the SIEM platform's search and analytics modules, owning technical design and delivery for cross-functional feature teams. Drove architecture proposals, won company hackathon with AI tool shipped to production, and mentored junior engineers while delivering high-availability systems at scale.
Skills: Java, JavaScript, Solr, Grails, MySQL, Snowflake, Kafka, GPT-4, REST APIs
Software Engineer at Securonix India Pvt. Ltd
Core contributor on the SIEM platform — owned the incident search and storage layer ingesting 1M+ events/second across distributed infrastructure. Implemented Kafka consumers, Solr indexing pipelines, and Snowflake ETL jobs powering real-time and historical security analytics.
Skills: Java, JavaScript, Solr, Grails, MySQL, Snowflake, Kafka, Spark, REST APIs, Linux
Sr. UI/UX Developer at Monet Networks Inc
Promoted to Sr. UI/UX Developer, leading the design and development of the AI-based emotion application. Oversaw frontend development and mentored team members.
Skills: JavaScript, Angular, TypeScript, Node.js, React, Adobe XD
UI/UX Developer at Monet Networks Inc
Joined as UI/UX Developer, collaborating with cross-functional teams to build intuitive interfaces. Contributed to the AI-based emotion capture application frontend.
Skills: JavaScript, Angular, TypeScript, Node.js, Adobe XD
Technical Skills
Frontend
JavaScript, Angular, React, TypeScript, HTML/CSS
Backend & Data
Java, Spring Boot, Microservices, Node.js, MySQL, Snowflake, Spark
Tools & Platforms
Solr, Kafka, Docker, Grails, Git, Linux, AWS, CI/CD, REST APIs
Education & Degrees
Master of Science in Computer Science — Assam University, Silchar
- Published research paper on biological sequence mining in international journal (IJDKP)
- Built indoor localization prototype using signal processing and data mining algorithms
- Coursework: Distributed Systems, Data Mining, Algorithm Design, Big Data Analytics
Bachelor of Science in Computer Science — Assam University
- Built and deployed web portal for the Department of Computer Science (full stack with PHP/MySQL)
- Coursework: Data Structures, Operating Systems, Database Management, Computer Networks
Research & Publications
An Efficient Pattern Mining Approach for Biological Sequence Data
Authors: Biswajit Nath, Dr. Pankaj Kumar Deva Sarma
Venue: International Journal of Data Mining & Knowledge Management Process (2017)
This paper proposes an efficient algorithm for mining sequential patterns from biological sequence databases, focusing on protein and DNA sequences with improved runtime performance.