Venkata Surya Sai Guntreddi profile photo 1 on Tal

Venkata Surya Sai Guntreddi

Software Engineer 2 @ Providence India

Andhra Pradesh

4+ years of work experience

Providence India
May 20251 yr 4 mosPresent

Developed domain-specific healthcare agents using Microsoft Agentic Framework with knowledge graph driven instruction orchestration and contextual patient memory for automated stroke metric evaluation. Developed a standardized ML inference platform with FastAPI, BentoML & MongoDB, enabling seamless, scalable serving for 10+ models across 5+ internal applications. Engineered a hybrid inference engine using RabbitMQ to decouple real-time requests from heavy batch processing, ensuring sub-100ms response times for users while maintaining 99.9% system availability. Orchestrated containerized microservices on AKS, implementing autoscaling that sustained 15-20 requests per second with negligible latency, ensuring a seamless experience for 1500+ employees. Architected end-to-end ci/cd pipelines in Github Actions, eliminating manual release overhead and reducing deployment-related production failures by 90% through automated testing and security scans. Collaborated with data science teams to bridge the gap from experimentation to production, streamlining delivery workflows and enabling 3x faster model iteration cycles.
Providence India
Apr 20251 yr 5 mosPresent

Hyderabad

• Developed a standardized ML inference platform with FastAPI, BentoML & MongoDB, enabling seamless, scalable serving for 10+ models across 5+ internal applications. • Engineered a hybrid inference engine using RabbitMQ to decouple real-time requests from heavy batch processing, ensuring sub-100ms response times for users while maintaining 99.9% system availability • Orchestrated containerized microservices on AKS, implementing autoscaling that sustained 15-20 requests per second with negligible latency, ensuring a seamless experience for 1500+ employees • Architected end-to-end ci/cd pipelines in Github Actions, eliminating manual release overhead and reducing deployment-related production failures by 90% through automated testing and security scans • Collaborated with data science teams to bridge the gap from experimentation to production, streamlining delivery workflows and enabling 3x faster model iteration cycles.
Providence India
Jul 20231 yr 10 mosApr 2025

Hyderabad

• Built a reusable Angular npm package with configurable tables and editable grids, adopted across 10+ applications, reducing duplicated UI effort. • Developed a configuration driven .NET REST API framework with Azure AD authentication, enabling secure and reusable CRUD services used across 7+ products. • Engineered role-based access control (RBAC) and optimized configuration management using Azure Blob Storage and Redis Cache, reducing build time and client onboarding effort by 10%. • Designed and implemented data pipelines in Snowflake using stored procedures and views to move data from staging to reporting layers, enabling reliable and performant analytics.
Providence India
May 20223 mosJul 2022

Hyderabad

Developed responsive frontend features in React.js and optimized client-side performance by implementing session storage caching, reducing redundant API requests and improving load times and user experience.
Providence Global Center
May 20223 mosJul 2022

Identified redundant API calls through frontend performance analysis and delivered session-storage based key-value caching, reducing API traffic and latency by 30% while improving data retrieval speed and overall application responsiveness.
Indian Institute of Technology, Hyderabad
Feb 202211 mosDec 2022

Hyderabad

• Enabled network computing environment forensics in private cloud through VLAN-based isolation for bare metal servers. • Conducted experiments with SDN controllers (RYU, ONOS, POX) to implement Network Access Control (NAC) within containers.
GitHub
@G-Venkata-Surya-Sai

Venkata’s AI Stack

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claudecode
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Education

Indian institute of technology Hyderabad

Bachelor of Technology, Computer Science and Engineering

Indian institute of technology Hyderabad

20194 yrs2023
Sri Chaitanya College of Education

Senior Secondary

Sri Chaitanya College of Education

20172 yrs2019

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Venkata Surya Sai Guntreddi on Tal

Headline

Software Engineer 2 @ Providence India

About

Software Engineer with 3+ years of experience developing high-performance, scalable systems serving 1500+ users. Expertise in backend engineering, distributed architectures, and ML platform development using FastAPI, RabbitMQ, and Azure Kubernetes Service. Demonstrated ability to optimize latency, improve reliability (99.9% uptime), and streamline CI/CD pipelines. Passionate about building robust systems and driving end-to-end ownership from design to deployment

Location

Andhra Pradesh

AI stack

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claudecode

Work experience

Artificial Intelligence Engineer at Providence India, May 2025 - Present · 1 yr 4 mos, Developed domain-specific healthcare agents using Microsoft Agentic Framework with knowledge graph driven instruction orchestration and contextual patient memory for automated stroke metric evaluation. Developed a standardized ML inference platform with FastAPI, BentoML & MongoDB, enabling seamless, scalable serving for 10+ models across 5+ internal applications. Engineered a hybrid inference engine using RabbitMQ to decouple real-time requests from heavy batch processing, ensuring sub-100ms response times for users while maintaining 99.9% system availability. Orchestrated containerized microservices on AKS, implementing autoscaling that sustained 15-20 requests per second with negligible latency, ensuring a seamless experience for 1500+ employees. Architected end-to-end ci/cd pipelines in Github Actions, eliminating manual release overhead and reducing deployment-related production failures by 90% through automated testing and security scans. Collaborated with data science teams to bridge the gap from experimentation to production, streamlining delivery workflows and enabling 3x faster model iteration cycles.

Software Engineer 2 at Providence India, Apr 2025 - Present · 1 yr 5 mos, Hyderabad, • Developed a standardized ML inference platform with FastAPI, BentoML & MongoDB, enabling seamless, scalable serving for 10+ models across 5+ internal applications. • Engineered a hybrid inference engine using RabbitMQ to decouple real-time requests from heavy batch processing, ensuring sub-100ms response times for users while maintaining 99.9% system availability • Orchestrated containerized microservices on AKS, implementing autoscaling that sustained 15-20 requests per second with negligible latency, ensuring a seamless experience for 1500+ employees • Architected end-to-end ci/cd pipelines in Github Actions, eliminating manual release overhead and reducing deployment-related production failures by 90% through automated testing and security scans • Collaborated with data science teams to bridge the gap from experimentation to production, streamlining delivery workflows and enabling 3x faster model iteration cycles.

Software Engineer at Providence India, Jul 2023 - Apr 2025 · 1 yr 10 mos, Hyderabad, • Built a reusable Angular npm package with configurable tables and editable grids, adopted across 10+ applications, reducing duplicated UI effort. • Developed a configuration driven .NET REST API framework with Azure AD authentication, enabling secure and reusable CRUD services used across 7+ products. • Engineered role-based access control (RBAC) and optimized configuration management using Azure Blob Storage and Redis Cache, reducing build time and client onboarding effort by 10%. • Designed and implemented data pipelines in Snowflake using stored procedures and views to move data from staging to reporting layers, enabling reliable and performant analytics.

Software Engineer Intern at Providence India, May 2022 - Jul 2022 · 3 mos, Hyderabad, Developed responsive frontend features in React.js and optimized client-side performance by implementing session storage caching, reducing redundant API requests and improving load times and user experience.

Back End Developer at Providence Global Center, May 2022 - Jul 2022 · 3 mos, Identified redundant API calls through frontend performance analysis and delivered session-storage based key-value caching, reducing API traffic and latency by 30% while improving data retrieval speed and overall application responsiveness.

Research Assistant at Indian Institute of Technology, Hyderabad, Feb 2022 - Dec 2022 · 11 mos, Hyderabad, • Enabled network computing environment forensics in private cloud through VLAN-based isolation for bare metal servers. • Conducted experiments with SDN controllers (RYU, ONOS, POX) to implement Network Access Control (NAC) within containers.

Education

Bachelor of Technology, Computer Science and Engineering, Indian institute of technology Hyderabad

Senior Secondary, Sri Chaitanya College of Education

Public links

github: https://github.com/G-Venkata-Surya-Sai