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Hi, I'm Ganesh Gupta, a research-focused software engineer and AI/ML systems enthusiast currently pursuing my MS in Computer Science at UT Arlington. I enjoy building scalable, production-grade data pipelines, ML models, and AI-powered tools that help people work smarter. When I'm not coding, I love contributing to open-source projects and sharing what I learn with peers. In my work, I combine backend engineering, cloud infrastructure, and frontend capabilities to deliver end-to-end solutions—think multi-stage LLM training, LoRA-based fine-tuning, streaming data pipelines, and AI assistants that assist in decision-making. I'm excited about solving complex problems in financial tech and beyond.…Hi, I'm Ganesh Gupta, a research-focused software engineer and AI/ML systems enthusiast currently pursuing my MS in Computer Science at UT Arlington. I enjoy building scalable, production-grade data pipelines, ML models, and AI-powered tools that help people work smarter. When I'm not coding, I love contributing to open-source projects and sharing what I learn with peers. In my work, I combine backend engineering, cloud infrastructure, and frontend capabilities to deliver end-to-end solutions—think multi-stage LLM training, LoRA-based fine-tuning, streaming data pipelines, and AI assistants that assist in decision-making. I'm excited about solving complex problems in financial tech and beyond.

Ganesh Gupta

AI Engineer, Web Developer, Programmer, +3

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Hi, I'm Ganesh Gupta, a research-focused software engineer and AI/ML systems enthusiast currently pursuing my MS in Computer Science at UT Arlington. I enjoy building scalable, production-grade data pipelines, ML models, and AI-powered tools that help people work smarter. When I'm not coding, I love contributing to open-source projects and sharing what I learn with peers. In my work, I combine backend engineering, cloud infrastructure, and frontend capabilities to deliver end-to-end solutions—think multi-stage LLM training, LoRA-based fine-tuning, streaming data pipelines, and AI assistants that assist in decision-making. I'm excited about solving complex problems in financial tech and beyond.…Hi, I'm Ganesh Gupta, a research-focused software engineer and AI/ML systems enthusiast currently pursuing my MS in Computer Science at UT Arlington. I enjoy building scalable, production-grade data pipelines, ML models, and AI-powered tools that help people work smarter. When I'm not coding, I love contributing to open-source projects and sharing what I learn with peers. In my work, I combine backend engineering, cloud infrastructure, and frontend capabilities to deliver end-to-end solutions—think multi-stage LLM training, LoRA-based fine-tuning, streaming data pipelines, and AI assistants that assist in decision-making. I'm excited about solving complex problems in financial tech and beyond.

Available to hire

Hi, I’m Ganesh Gupta, a research-focused software engineer and AI/ML systems enthusiast currently pursuing my MS in Computer Science at UT Arlington. I enjoy building scalable, production-grade data pipelines, ML models, and AI-powered tools that help people work smarter. When I’m not coding, I love contributing to open-source projects and sharing what I learn with peers.

In my work, I combine backend engineering, cloud infrastructure, and frontend capabilities to deliver end-to-end solutions—think multi-stage LLM training, LoRA-based fine-tuning, streaming data pipelines, and AI assistants that assist in decision-making. I’m excited about solving complex problems in financial tech and beyond.

Skills

Experience Level

Expert

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Intermediate

Language

English

Fluent

Work Experience

Graduate Teaching Assistant at The University of Texas at Arlington

May 1, 2025 - September 24, 2025

Trained Vision Transformers like SWIN, SegFormer, LaneATT, and LD-CAM on HoG features from event-based cameras using GPU (CUDA) optimization, achieving a 90.6% sensitivity for lane detection. Implemented and optimized fine-tuning using LoRA, PEFT, and QLoRA on LLaMA 2 for a finance-focused news dataset to improve domain understanding and inference accuracy. Automated ETL of library books data into PostgreSQL using Apache Airflow, and built a Kafka-based pipeline with Spark Structured Streaming to ingest transaction streams, enabling sub-second data processing. Mentored 180+ students, conducted code reviews, and designed curriculum for IoT/Android development.

Graduate Research Assistant - AI/ML Systems at The University of Texas at Arlington

August 1, 2024 - November 11, 2025

Developed and deployed multi-stage LLM training and fine-tuning pipelines (SFT, PEFT) using graph neural networks for 5G root-cause analysis with 95%+ fault-identification accuracy. Implemented LoRA/QLoRA-based fine-tuning on LLaMA 2 to optimize inference for finance-focused datasets. Built ETL pipelines automating data ingestion into PostgreSQL with Apache Airflow and implemented Kafka-based streaming with Spark Structured Streaming for sub-second processing. Architected Vision Transformers (SWIN, SegFormer) with distributed PyTorch training on NVIDIA GPUs and monitored performance. Designed NLP workflows using spaCy and Hugging Face Transformers for document processing (tokenization, entity extraction, intent classification).

Software Engineer at Nomura Research Institute Financial Technologies

August 1, 2023 - August 1, 2023

Architected and delivered 6+ enterprise-grade banking and asset management products using OO design, distributed systems, and Agile methodologies. Built 25+ cloud-native backend microservices with FastAPI/REST APIs supporting 1M+ concurrent users with robust monitoring. Implemented CI/CD pipelines with Jenkins, Docker, and Kubernetes to automate deployment. Developed cloud-native data ingestion (AWS Glue, S3, Athena) to migrate 50,000+ records into a data lake for centralized analytics and ML readiness. Applied MLOps practices including model versioning, automated testing, and real-time telemetry for distributed ML applications. Maintained highly available AWS infrastructure with 99.9% uptime and implemented disaster recovery. Led an 8-member cross-functional team delivering a Rapid Application Development platform with code generation, reducing development time by 80%.

Software Engineer at Nomura Research Institute Financial Technologies, India

August 1, 2023 - September 24, 2025

Led architecture design and end-to-end development of 6+ enterprise-level banking and asset management products using object-oriented design principles in an Agile environment. Designed and developed 25+ distributed backend services with cloud-native distributed architecture, microservice communication, and relational database integration, serving 1M+ users across concurrent production environments. Built and migrated scalable REST APIs and microservices (Java, React) orchestrating 350+ screens with automated deployment, monitoring, and load balancing. Architected a data ingestion pipeline using AWS Glue, S3, and Athena to migrate 50,000+ records into a cloud-native data lake, enabling centralized analytics, ML readiness, and automated failover for high availability. Built high-availability AWS infrastructure achieving 99.9% uptime with disaster recovery under 2 minutes. Applied optimization mathematics, nonlinear optimization, and parallel processing to improve system performance by 3