Hi, I'm Siddhant Jain, a passionate software development engineer with hands-on experience in building scalable microservices and AI-driven applications. I enjoy working with Java, Python, and cloud technologies to deliver robust solutions that improve performance and reduce latency. I take pride in automating workflows and optimizing deployment pipelines to accelerate release cycles and improve system reliability. I have a strong background in machine learning and natural language processing, having developed AI tools that help legal teams streamline contract reviews and medical chatbots to assist patients effectively. My experience spans cloud deployment, infrastructure as code, and real-time analytics, and I am always eager to leverage new technologies to create impactful software.

Siddhant Jain

Hi, I'm Siddhant Jain, a passionate software development engineer with hands-on experience in building scalable microservices and AI-driven applications. I enjoy working with Java, Python, and cloud technologies to deliver robust solutions that improve performance and reduce latency. I take pride in automating workflows and optimizing deployment pipelines to accelerate release cycles and improve system reliability. I have a strong background in machine learning and natural language processing, having developed AI tools that help legal teams streamline contract reviews and medical chatbots to assist patients effectively. My experience spans cloud deployment, infrastructure as code, and real-time analytics, and I am always eager to leverage new technologies to create impactful software.

Available to hire

Hi, I’m Siddhant Jain, a passionate software development engineer with hands-on experience in building scalable microservices and AI-driven applications. I enjoy working with Java, Python, and cloud technologies to deliver robust solutions that improve performance and reduce latency. I take pride in automating workflows and optimizing deployment pipelines to accelerate release cycles and improve system reliability.

I have a strong background in machine learning and natural language processing, having developed AI tools that help legal teams streamline contract reviews and medical chatbots to assist patients effectively. My experience spans cloud deployment, infrastructure as code, and real-time analytics, and I am always eager to leverage new technologies to create impactful software.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
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Intermediate
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Intermediate
Intermediate
Intermediate
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Intermediate
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Language

Javanese
Advanced

Work Experience

Software Development Engineer at Community Dreams Foundation
February 1, 2025 - Present
Developed Java Spring Boot microservices for donation processing and volunteer management, containerized with Docker & Helm, and deployed on AWS EKS; integrated API Gateway, SQS/SNS event buses, and DynamoDB to handle 50K+ monthly transactions at 99.9% availability with 30% reduced latency. Automated Infrastructure as Code (IaC) & CI/CD with Terraform and AWS CodePipeline/CodeBuild; instrumented AWS CloudWatch Metrics, X-Ray tracing, and Grafana dashboards—cutting mean time to recovery (MTTR) by 40% and boosting release velocity by 50%.
Software Developer - ML at The Legal Book
June 30, 2023 - July 10, 2025
Implemented AI-driven “Review in Seconds”: Enabled legal teams to explore 100+ contracts monthly by comparing clauses against playbook parameters and flagging discrepancies. Developed backend using Python and Flask for real-time contract analysis and AI integration on Linux OS along with Terraform. Streamlined ML deployments & CI/CD by automating rollout of GPT/BERT models with Docker and Kubernetes; established Jenkins pipelines, increasing deployment frequency by 30%, and utilized MLflow, DVC, and AWS for reproducible workflows. Assembled Prometheus and Grafana monitoring, reducing downtime by 20% and elevating incident resolution.
Software Developer (Intern) at Vriddhi Software Solutions, Pvt. Ltd.
August 31, 2022 - July 10, 2025
Deployed ERP software for 200+ institutes to handle academic and financial data, creating PL/SQL packages and procedures using Oracle SQL Developer for resilient data integrity. Inspected consistency checks and index defragmentation, boosting database performance by a predicted 15%. Revamped intranet and cloud layers on ASP.NET 4.5, raising data availability by 30% through real-time synchronization, multi-threading, and optimized C# data access.
Artificial Intelligence Engineer (Extern) at IBM
July 31, 2021 - July 10, 2025
Crafted a sales forecasting web app with NumPy, Pandas, scikit-learn, and TensorFlow analyzing 1000+ data points to predict store sales, minimizing debugging by 20% via efficient Flask, RESTful endpoints, and Jinja2 templating. Leveraged RNNs and LSTM models to study historical data, upgrading forecast accuracy by around 20%.
Software Development Engineer at Community Dreams Foundation
February 1, 2025 - Present
Developed Java Spring Boot microservices for donation processing and volunteer management, containerized with Docker & Helm, and deployed on AWS EKS; integrated API Gateway, SQS/SNS event buses, and DynamoDB to handle 50K+ monthly transactions at 99.9% availability with 30% reduced latency. Automated IaC & CI/CD with Terraform and AWS CodePipeline/CodeBuild; instrumented AWS CloudWatch Metrics, X-Ray tracing, and Grafana dashboards—cutting MTTR by 40% and boosting release velocity by 50%.
Software Developer-ML at The Legal Book
June 30, 2023 - July 10, 2025
Implemented AI-driven “Review in Seconds”: Enabled legal teams to explore 100+ contracts monthly by comparing clauses against playbook parameters and flagging discrepancies. Developed backend using Python and Flask for real-time contract analysis and AI integration on Linux Operating System along with the assistance of Terraform. Streamlined ML Deployments & CI/CD: Automated rollout of GPT/BERT models with Docker and Kubernetes; established Jenkins pipelines, increasing deployment frequency by 30%, and utilized MLflow, DVC, and AWS for reproducible workflows. Assembled Prometheus and Grafana, reducing downtime by 20% and elevating incident resolution.
Software Developer (Intern) at Vriddhi Software Solutions, Pvt. Ltd.
August 31, 2022 - July 10, 2025
ERP Implementation for 200+ Institutes: Deployed ERP software to handle academic/financial data, creating PL/SQL packages and procedures using Oracle SQL Developer for resilient data integrity. Inspected consistency checks and index defragmentation, boosting database performance by a predicted 15%. Revamped intranet and cloud layers on ASP.NET 4.5, raising data availability by 30% through real-time synchronization, multi-threading, and optimized C# data access.
Artificial Intelligence Engineer (Extern) at IBM
July 31, 2021 - July 10, 2025
Crafted a forecasting platform with NumPy, Pandas, scikit-learn, TensorFlow, analyzing 1000+ of data points to predict store sales. Minimized debugging by 20% via efficient Flask, RESTful endpoints and Jinja2 templating. Leveraged RNNs to study historical data, upgrading forecast accuracy by around 20%.

Education

Masters in Science at University at Buffalo
January 1, 2023 - December 31, 2024
Bachelor of Technology at Vellore Institute of Technology, India
January 1, 2018 - December 31, 2022
Masters in Science at University at Buffalo
January 1, 2023 - December 31, 2024
Bachelor of Technology at Vellore Institute of Technology
January 1, 2015 - December 31, 2019

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Healthcare, Financial Services, Non-Profit Organization, Professional Services

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
Intermediate
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