Saierangan G V profile photo 1 on Tal

Saierangan G V

Data Scientist @ Amazon || 2+ YOE || Backend Developer || Machine Learning Engineer || SRMIST CSE-AIML ’24

Greater Bengaluru Area

2+ years of work experience

Amazon
Jul 20264 mosPresent

Bengaluru, Karnataka, India

Owning the last mile ML models of Amazon which predicts abusive Delivery Associates for 7 countries and expanding to new regions. Working on a Gen AI and LLM based Chatbot for RCA Causality.
Amazon
Apr 20251 yr 4 mosJul 2026

Chennai, Tamil Nadu, India

Led an organization-wide migration of Amazon Payment Services from CloudWatch Evidently to AWS AppConfig by building a custom AWS Lambda–based automation, reducing migration time from hours to seconds. Designed a reusable, service-agnostic migration framework enabling seamless AppConfig adoption across multiple teams and environments. Drove data storage migration from RDS to DynamoDB for the Installments platform, improving scalability, availability, and operational efficiency. Developed and maintained high-throughput, low-latency payment workflows using Java and Kotlin for mission-critical financial systems. Implemented standalone authentication mechanisms, strengthening security isolation and reducing cross-service dependencies. Actively participated in on-call rotations, resolving multiple SEV-1 and SEV-2 production incidents while meeting strict SLA requirements.
Tiger Analytics
Aug 20249 mosApr 2025

Chennai, Tamil Nadu, India

Automated 46% of catalog workflows using scalable ETL pipelines (PySpark, Azure), reducing manual effort by 42%. Took end-to-end ownership of audit automation, implementing ETL solutions (Python, Databricks) that automated 98% of audit workflows and reduced manual effort by 95%. Designed and developed a full-stack query management platform using React and FastAPI with reusable components and CI/CD integration. Recognized internally for consistent delivery and technical excellence, including quarterly performance appreciation. Built a partial claim auto-adjudication system using a serverless architecture (Python, FastAPI, AWS Lambda), increasing auto-processing rates from ~18% to ~45%. Contributed to automating catalog workflows with PySpark and Azure, delivering measurable reductions in manual operational effort. Collaborated closely with data, engineering, and business teams to deliver production-ready analytics solutions.
Tiger Analytics
Jun 20242 mosJul 2024

Chennai, Tamil Nadu, India

Tiger Analytics
Jan 20245 mosMay 2024

Chennai, Tamil Nadu, India

Coincent.ai
Oct 20223 mosDec 2022

Online

Saierangan’s AI Stack

kiro
kiro

Education

SRM IST Chennai

Bachelor of Technology - BTech, Computer Science

SRM IST Chennai

20204 yrs2024

Primary and Senior Secondary, Computer Science

Alpha Wisdom Vidayshram

20119 yrs2020

Join Saierangan and 10k+ other professionals on

Tal Boss

Tal is the app where bosses meet engineers & builders directly, without middlemen

Download Tal Boss

Saierangan G V on Tal

Headline

Data Scientist @ Amazon || 2+ YOE || Backend Developer || Machine Learning Engineer || SRMIST CSE-AIML ’24

About

I’m a versatile Data Scientist/Software Engineer with expertise in Python, Java, ReactJS, Django, Databricks, and REST APIs, along with a strong background in Data Engineering and Machine Learning. I have experience building scalable applications, automating data pipelines, and optimizing workflows to ensure high system performance. My skill set extends to designing and managing data architectures, implementing ETL processes, and leveraging machine learning models to drive data-driven insights. I enjoy solving complex problems, delivering impactful solutions, and collaborating across teams to build innovative and efficient systems. What Drives Me: I’m passionate about applying technology to solve real-world challenges, ensuring clarity in decision-making, and understanding the long-term impact of my work. Whether it’s improving data pipelines, enhancing application performance, or developing AI-powered solutions, I’m always eager to explore and innovate. Let’s Connect: Open to exciting opportunities where I can apply my skills in software engineering, data engineering, and machine learning to deliver high-impact solutions.

Location

Greater Bengaluru Area

AI stack

kiro

Work experience

Data Scientist at Amazon, Jul 2026 - Present · 4 mos, Bengaluru, Karnataka, India, Owning the last mile ML models of Amazon which predicts abusive Delivery Associates for 7 countries and expanding to new regions. Working on a Gen AI and LLM based Chatbot for RCA Causality.

Software Development Engineer at Amazon, Apr 2025 - Jul 2026 · 1 yr 4 mos, Chennai, Tamil Nadu, India, Led an organization-wide migration of Amazon Payment Services from CloudWatch Evidently to AWS AppConfig by building a custom AWS Lambda–based automation, reducing migration time from hours to seconds. Designed a reusable, service-agnostic migration framework enabling seamless AppConfig adoption across multiple teams and environments. Drove data storage migration from RDS to DynamoDB for the Installments platform, improving scalability, availability, and operational efficiency. Developed and maintained high-throughput, low-latency payment workflows using Java and Kotlin for mission-critical financial systems. Implemented standalone authentication mechanisms, strengthening security isolation and reducing cross-service dependencies. Actively participated in on-call rotations, resolving multiple SEV-1 and SEV-2 production incidents while meeting strict SLA requirements.

Machine Learning Engineer at Tiger Analytics, Aug 2024 - Apr 2025 · 9 mos, Chennai, Tamil Nadu, India, Automated 46% of catalog workflows using scalable ETL pipelines (PySpark, Azure), reducing manual effort by 42%. Took end-to-end ownership of audit automation, implementing ETL solutions (Python, Databricks) that automated 98% of audit workflows and reduced manual effort by 95%. Designed and developed a full-stack query management platform using React and FastAPI with reusable components and CI/CD integration. Recognized internally for consistent delivery and technical excellence, including quarterly performance appreciation. Built a partial claim auto-adjudication system using a serverless architecture (Python, FastAPI, AWS Lambda), increasing auto-processing rates from ~18% to ~45%. Contributed to automating catalog workflows with PySpark and Azure, delivering measurable reductions in manual operational effort. Collaborated closely with data, engineering, and business teams to deliver production-ready analytics solutions.

Application Engineer at Tiger Analytics, Jun 2024 - Jul 2024 · 2 mos, Chennai, Tamil Nadu, India

Machine Learning Engineer at Tiger Analytics, Jan 2024 - May 2024 · 5 mos, Chennai, Tamil Nadu, India

Machine Learning Intern at Coincent.ai, Oct 2022 - Dec 2022 · 3 mos, Online

Education

Bachelor of Technology - BTech, Computer Science, SRM IST Chennai

Primary and Senior Secondary, Computer Science, Alpha Wisdom Vidayshram