AI-focused software engineer with hands-on experience building production-grade machine learning and NLP systems. I’ve worked on AI-driven incident management platforms, predictive models, retrieval-augmented assistants, and conversational chatbots that help automate decision-making and reduce manual effort at scale. My background spans LLMs, classical ML, and data engineering, including low-latency prediction models, Spark-based ETL pipelines on Databricks, Kafka-driven event workflows, and backend services that integrate ML into real business systems. I enjoy working at the intersection of model development, data pipelines, and real-world product integration. I’ve completed a Master of Computing (Artificial Intelligence) at the National University of Singapore and am actively seeking opportunities in ML Engineering, AI Engineering, Data Science, and Applied NLP, where I can build reliable, scalable, and impactful AI solutions.

Roheth Balamurugan

AI-focused software engineer with hands-on experience building production-grade machine learning and NLP systems. I’ve worked on AI-driven incident management platforms, predictive models, retrieval-augmented assistants, and conversational chatbots that help automate decision-making and reduce manual effort at scale. My background spans LLMs, classical ML, and data engineering, including low-latency prediction models, Spark-based ETL pipelines on Databricks, Kafka-driven event workflows, and backend services that integrate ML into real business systems. I enjoy working at the intersection of model development, data pipelines, and real-world product integration. I’ve completed a Master of Computing (Artificial Intelligence) at the National University of Singapore and am actively seeking opportunities in ML Engineering, AI Engineering, Data Science, and Applied NLP, where I can build reliable, scalable, and impactful AI solutions.

Available to hire

AI-focused software engineer with hands-on experience building production-grade machine learning and NLP systems. I’ve worked on AI-driven incident management platforms, predictive models, retrieval-augmented assistants, and conversational chatbots that help automate decision-making and reduce manual effort at scale.

My background spans LLMs, classical ML, and data engineering, including low-latency prediction models, Spark-based ETL pipelines on Databricks, Kafka-driven event workflows, and backend services that integrate ML into real business systems. I enjoy working at the intersection of model development, data pipelines, and real-world product integration.

I’ve completed a Master of Computing (Artificial Intelligence) at the National University of Singapore and am actively seeking opportunities in ML Engineering, AI Engineering, Data Science, and Applied NLP, where I can build reliable, scalable, and impactful AI solutions.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
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Language

English
Fluent

Work Experience

Software Developer Intern at SATS Ltd
May 1, 2025 - June 1, 2025
Built scalable batch and near real-time data pipelines on Azure Databricks using Apache Spark, serving processed data through FastAPI for downstream analytics. Integrated PostgreSQL with Spark for ETL workflows, applying partitioning, caching, and aggregation strategies to reduce query latency.
Full Stack Developer at Zoho Corporation
February 1, 2022 - June 1, 2024
Developed and optimized Java-based microservices for AI-driven incident management, improving scalability and integration with predictive models and automation workflows. Designed and implemented Spring Batch ETL pipelines, triggered via Spring schedulers, to process historical ticket data and generate structured training datasets for predictive and analytical ML models. Built ticket field prediction models (category, priority, technician) using FastText, enabling automated routing and reduced ticket resolution time. Implemented NLP pipelines for email intent classification and sentiment analysis; built RAG-based assistants with LangChain to deflect ticket creation; integrated LLM inference for multi-modal support; created LangGraph-based workflows for natural-language ticket actions.

Education

Master of Computing — Artificial Intelligence Specialization at National University of Singapore (NUS)
August 1, 2024 - December 1, 2025
Bachelor of Engineering — Computer Science Engineering at Anna University
August 1, 2018 - June 1, 2022

Qualifications

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Industry Experience

Software & Internet, Professional Services