Senior AI Engineer | Expert in Python, FastAPI, and AI/ML Solutions


Remote



Remote







Bachelor of Technology, Computer Engineering
Jss Academy of Technical Education
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I am a Senior AI Engineer with over 6 years of experience in software engineering, specializing in AI/ML solutions and backend development. My expertise includes building secure and efficient systems using Python, FastAPI, and cloud technologies like AWS and Azure. I have a proven track record of delivering high-performance applications, optimizing processes, and automating workflows. I thrive in collaborative environments, leveraging my skills in cross-team collaboration and project management to drive innovation. I am passionate about creating impactful AI solutions that enhance productivity and accuracy. I am available for full-time opportunities and eager to contribute to transformative projects.
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Artificial Intelligence Engineer at Thomson Reuters, Mar 2025 - Present · 1 yr 7 mos, Built a secure Python-based tax/accounting platform, delivering fast and memory-safe financial computation and compliance features. Integrated Azure AD with SAML SSO, slashing onboarding timelines by 80% while strengthening enterprise-scale authentication. Orchestrated multi-step agentic AI workflows using LangChain, LangGraph, and GPT-4o, boosting task accuracy and automation by 90%. Implemented and maintained scalable microservices infrastructure using AWS CDK (Python SDK) integrated with ECR/ECS for efficient container deployment, enabling continuous delivery and robust system uptime.
SSDE at Decentro, Oct 2022 - Dec 2024 · 2 yrs 3 mos, Remote
Senior Software Engineer at Decentro, Oct 2022 - Dec 2024 · 2 yrs 3 mos, Engineered high-performance banking APIs microservices using FastAPI, reducing transaction latency by 80% with JWT authentication. Adopted TDD practices, achieving cleaner code and slashed production defects by 80%. Devised computer vision microservices for OCR, ID classification, face matching, automating verification with 95% reduction in manual review. Leveraged Boto3, the AWS SDK for Python, to automate resource management tasks such as S3 uploads, EC2 instance handling, and IAM role configuration, improving deployment efficiency and reducing manual AWS operations by 85%. Deployed and managed scalable microservices using AWS CDK (Python SDK) with ECR/ECS for container orchestration, ensuring seamless CI/CD and high availability.
Artificial Intelligence Engineer at IQVIA, Jul 2020 - Sep 2022 · 2 yrs 3 mos, Deployed end-to-end ML models using Python and FastAPI, accelerating deployment speed by 85%. Built an XGBoost-based risk prediction model to identify patients at risk of heart failure, enabling early intervention for 75% of target cases. Automated cloud infrastructure provisioning with Terraform, enabling consistent, version-controlled deployments and reducing manual setup time by 90%. Adopted TDD practices, achieving cleaner code and slashed production defects by 80.
SDE at IQVIA, Jul 2020 - Sep 2022 · 2 yrs 3 mos, Remote
Bachelor of Technology, Computer Engineering, Jss Academy of Technical Education
github: https://github.com/shregar1
leetcode: https://leetcode.com/sengarsinghshreyansh
shregar.com: https://shregar.com/