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@shreyanshsinghsengar
Senior Software Engineer specializing in backend development and AI integration.
I am a Senior Software Engineer with over 4.5 years of experience in backend development, AI/ML integration, and scalable system design. My expertise lies in building high-performance APIs and enterprise authentication systems, utilizing technologies such as Python, Flask, and FastAPI. I have a proven track record of developing ML-driven applications that enhance user experience and operational efficiency.
Throughout my career, I have successfully integrated enterprise applications with Azure Active Directory, significantly improving secure user authentication processes. My role at Thomson Reuters involved designing agentic workflows that resulted in a remarkable 90% improvement in task accuracy. I am passionate about leveraging my skills in product-based companies to create robust infrastructure and AI-driven solutions that meet modern business needs.
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Work history, roles, and key accomplishments
Thomson Reuters
Mar 2025 - Present (8 months)
Integrated enterprise applications with Azure Active Directory using SAML-based single sign-on (SSO), enhancing secure user authentication and reducing onboarding time by 80%. Designed and implemented agentic workflows leveraging LangChain, LangGraph, and GPT-4o, orchestrating multi-step reasoning and tool-augmented task execution, resulting in 90% improvement in task accuracy and efficiency.
Decentro
Oct 2022 - Dec 2024 (2 years 2 months)
Developed high-performance banking APIs using Flask and FastAPI with authentication via JWT, reducing response latency by 80% and improving transaction reliability. Deployed scalable backend services on AWS ECS/ECR, ensuring robust infrastructure with 75% uptime and seamless scalability. Built CV APIs for OCR, object detection, ID classification, and face matching, automating document verification
Iqvia
Jul 2020 - Sep 2022 (2 years 2 months)
Designed and deployed ML models as user-friendly web applications using Flask, enabling seamless accessibility and integration, reducing deployment time by 85%. Implemented authentication and authorization using Google Sign-In with OAuth 2.0, securing user access control and reducing unauthorized access by 99%. Developed and trained an XGBoost machine learning model to predict patients at risk of
Degrees, certifications, and relevant coursework
B.Tech, Computer Science Engineering
Completed a Bachelor of Technology in Computer Science Engineering. The curriculum covered core computer science principles and practical engineering applications.
Software and tools used professionally
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