Arnab Halder
Lead Software Engineer
Roanoke,Texas
Summary
- Software Professional with 7+ years of experience designing and deploying solutions that drive measurable business impact across large-scale platforms in finance and enterprise IT environments.
- Pursuing an M.S. in Advanced Data Analytics with a concentration in Applied Artificial Intelligence at the University of North Texas, complementing academic learning with real-world experience as a Data Science Researcher in the industry.
- Proven track record in building and deploying LLM-powered solutions, including retrieval-augmented generation (RAG) agents, and predictive analytics pipelines.
- Experienced at leading end-to-end ML development, from data preparation and model training to cloud-native deployment using AWS, GCP, Docker, Kubernetes, and CI/CD automation for scalable delivery.
- Demonstrated ability to bridge technical and business teams, translating complex requirements into robust, production-ready solutions.
- Recognized for mentoring cross-functional teams, driving platform automation, and delivering high-impact solutions independently in fast-paced, mission-critical environments.
- Published author in IEEE, with research contributions in machine learning applications; currently working on additional research papers, including studies on healthcare and environmental data, targeted for upcoming academic conferences.
- Proactive and quick to adapt, consistently staying ahead of emerging technologies in machine learning, GenAI, and cloud infrastructure by rapidly learning and applying new tools, frameworks, and best practices in real-world projects.
- Demonstrated discipline and resilience through achieving a third-degree black belt in Kung Fu, reflecting a strong commitment to perseverance, focus, and leadership beyond the professional sphere.
Overview
8
8
years of professional experience
1
1
Certification
Work History
Data Science Researcher
BBE Group, LLC
12.2024 - Current
- Designed and implemented advanced machine learning models from inception to production for diverse datasets, including structured, unstructured, and text data from large-scale sources.
- Built a conversational Q&A agent using Retrieval-Augmented Generation (RAG) to extract insights from legal and financial real estate documents, reducing manual search time by 80%, and accelerating decision-making processes.
- Developed scalable and automated MLOps pipelines for data ingestion, information retrieval, evaluation, monitoring, and deployment using Python, Docker, GCP Cloud Build, and Cloud Run.
- Delivered a fully containerized, cloud-native application stack, including FastAPI-based backend services and an Angular frontend, ensuring a seamless user experience and model interaction across the platform.
Lead Software Engineer
Fidelity Investments
04.2020 - 08.2024
- Led the integration of ServiceNow’s native machine learning capabilities by designing and evaluating classification and NLP models to automate incident and change management workflows, aligning with enterprise-wide ML deployment best practices.
- Built a ServiceNow application for cross-instance data synchronization using Scripted REST APIs and an Angular-based Service Portal, achieving a 90% improvement in data transfer performance.
- Built a scalable BYOD provisioning solution, including monthly report automation, showcasing the ability to convert business needs into automated systems with minimal human intervention.
- Executed end-to-end development and customization of ServiceNow solutions, with a focus on implementing and integrating ServiceNow Web Services to enhance functionality and system integration.
- Implemented scalable backend services and seamless API integrations, demonstrating expertise in software architecture and alignment with microservices-oriented, cloud-native design principles.
- Implemented and adopted cloud technologies and best practices for automation, configuration, monitoring and platform scalability.
- Delivered clean, unit-tested, and scalable code, adhering to object-oriented design principles, and conducted code reviews to ensure consistency with engineering best practices and coding standards.
- Collaborated with cross-functional teams, including product managers, architects, and engineers, to design and deliver end-to-end solutions aligned with client objectives and technical requirements.
Infrastructure Developer
Cognizant Technology Solutions
12.2017 - 03.2020
- Developed and maintained automation scripts and tools to streamline infrastructure workflows, significantly improving operational efficiency, and minimizing manual overhead in high-volume environments.
- Implemented a predictive monitoring and alerting system using machine learning techniques to proactively identify potential system failures.
- Deployed automation and monitoring solutions on AWS, utilizing services like EC2, S3, and CloudWatch.
Education
Master of Science - Advanced Data Analytics
University of North Texas
Denton, TX12.2025
Bachelor of Technology - Computer Science and Engineering
Maulana Abul Kalam Azad University of Technology
Kolkata10.2017
Skills
Machine Learning & AI: Supervised/Unsupervised Learning, NLP, Generative AI (LLMs), Retrieval-Augmented Generation (RAG)
Accomplishments
- Awarded the prestigious NASSCOM Dewang Mehta Top Ranker Award for outstanding academic excellence.
- Granted the Fidelity Shout Out recognition for creating a pioneering data synchronization solution across ServiceNow instances.
- Received the SBU Distinction Award and Rising Star at Cognizant for employing machine learning in developing a proactive alerting system, mitigating potential downstream issues.
Publications
- Analysis of behavioural patterns of different intelligent agents: IEEE, June 22, 2018
- An automation approach in dielectric constant prediction using machine learning: IEEE, June 22, 2018
Certification
ServiceNow Certified Application Developer
Timeline
Data Science Researcher
BBE Group, LLC
12.2024 - Current
Lead Software Engineer
Fidelity Investments
04.2020 - 08.2024
Infrastructure Developer
Cognizant Technology Solutions
12.2017 - 03.2020
Master of Science - Advanced Data Analytics
University of North Texas
Bachelor of Technology - Computer Science and Engineering
Maulana Abul Kalam Azad University of Technology
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