Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

Software Engineer and AI Engineer with 4 years of experience building distributed systems, machine learning pipelines, and generative AI applications for enterprise clients. Proficient in Python, FastAPI, AWS, and React.js, delivering production-grade RAG pipelines, LLM-powered tools, and scalable microservices. Built cloud-native solutions at McKinsey and PwC processing millions of records daily for global teams. Experienced in real-time analytics systems, event-driven architectures, and end-to-end delivery—from data pipelines and backend services to tested, production-ready deployments.…Software Engineer and AI Engineer with 4 years of experience building distributed systems, machine learning pipelines, and generative AI applications for enterprise clients. Proficient in Python, FastAPI, AWS, and React.js, delivering production-grade RAG pipelines, LLM-powered tools, and scalable microservices. Built cloud-native solutions at McKinsey and PwC processing millions of records daily for global teams. Experienced in real-time analytics systems, event-driven architectures, and end-to-end delivery—from data pipelines and backend services to tested, production-ready deployments.

Sai Mallesh Goud

Software Engineer, AI Engineer, Data Scientist, +2





Software Engineer and AI Engineer with 4 years of experience building distributed systems, machine learning pipelines, and generative AI applications for enterprise clients. Proficient in Python, FastAPI, AWS, and React.js, delivering production-grade RAG pipelines, LLM-powered tools, and scalable microservices. Built cloud-native solutions at McKinsey and PwC processing millions of records daily for global teams. Experienced in real-time analytics systems, event-driven architectures, and end-to-end delivery—from data pipelines and backend services to tested, production-ready deployments.…Software Engineer and AI Engineer with 4 years of experience building distributed systems, machine learning pipelines, and generative AI applications for enterprise clients. Proficient in Python, FastAPI, AWS, and React.js, delivering production-grade RAG pipelines, LLM-powered tools, and scalable microservices. Built cloud-native solutions at McKinsey and PwC processing millions of records daily for global teams. Experienced in real-time analytics systems, event-driven architectures, and end-to-end delivery—from data pipelines and backend services to tested, production-ready deployments.

Available to hire

Software Engineer and AI Engineer with 4 years of experience building distributed systems, machine learning pipelines, and generative AI applications for enterprise clients. Proficient in Python, FastAPI, AWS, and React.js, delivering production-grade RAG pipelines, LLM-powered tools, and scalable microservices.

Built cloud-native solutions at McKinsey and PwC processing millions of records daily for global teams. Experienced in real-time analytics systems, event-driven architectures, and end-to-end delivery—from data pipelines and backend services to tested, production-ready deployments.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Language

Work Experience

Software Engineer at McKinsey & Company

July 1, 2025 - Present

Architected Python and FastAPI microservices for structured client engagement data across 3 enterprise accounts, significantly reducing analyst reporting time. Designed and implemented a LangChain + OpenAI RAG pipeline to query 500+ internal documents with sub-4-second response times. Refactored batch ETL to reduce distributed processing time from 6 hours to 40 minutes across concurrent client workstreams. Automated AWS environment provisioning using Terraform and GitHub Actions, reducing setup time from 3 days to 4 hours. Delivered a React.js/Node.js real-time analytics dashboard replacing 200+ manual data entry steps for a 12-person advisory team. Wrote pytest unit/integration tests for multiple REST services, increasing coverage from 61 to 94 and reducing production incidents.

Software Engineer at PricewaterhouseCoopers (PwC)

September 1, 2021 - October 31, 2022

Developed REST APIs in Python and Node.js for a tax compliance platform used by 40 client organizations, reducing manual filing preparation time from 3 days to 6 hours per cycle. Built PostgreSQL data pipelines consolidating audit records from 6 systems to provide a unified view across 1,200+ monthly transactions. Created a React.js dashboard for real-time audit metrics, cutting report generation time from 4 hours to 20 minutes. Automated document validation workflows in Python, saving 15 hours of manual review per week for a team of 6. Collaborated with offshore teams to migrate a legacy Java monolith to Azure microservices, shortening deployment cycles from 3 weeks to 4 days.

Software Engineer at Dell Technologies

July 1, 2020 - August 31, 2021

Designed and maintained REST APIs in Java and Python for an IT asset management platform tracking 50,000+ components across 12 global facilities. Tuned Oracle SQL queries and indexing to reduce dashboard load time from 9 seconds to 1.4 seconds. Built automated test suites using JUnit and Selenium covering 80+ test cases and preventing critical regressions before releases. Integrated third-party vendor REST APIs to automate procurement workflows, saving 12 hours/week for supply chain teams. Shipped multiple feature modules on schedule within Agile/Scrum sprints with an 8-engineer team over a 6-month cycle.