Summary
Overview
Work History
Education
Skills
Certification
Timeline
Generic

Rohit Pulipaka

Santa Clarita,CA

Summary

Artificial Intelligence Engineer with expertise in machine learning, natural language processing, and algorithm development. Proven track record of delivering high-value projects efficiently and accurately. Strong problem-solving and critical thinking skills facilitate effective collaboration across teams to achieve optimal results.

Overview

4
4
years of professional experience
1
1
Certification

Work History

AI Engineer

Sony Pictures Entertainment Inc
Culver City, CA
09.2023 - Current
  • Drove an idea from whiteboard to enterprise product, scaling a Streamlit proof-of‑concept with three pilot users into a production AI platform adopted by 500 employees (150 weekly active) across marketing, story and data teams.
  • Automated social-listening sentiment analysis by pairing Brandwatch tweet feeds with GPT-4 and custom prompt engineering boosts scoring accuracy by 80 percent and cuts 1,000-tweet review cycles from four hours to under ten minutes.
  • Architected a polyglot Azure stack—React front end, FastAPI services, Semantic Kernel agents, and a C# PGVector RAG layer—backed by a model switchboard that lets users toggle among GPT-3.5-Turbo, GPT-4, and GPT-4o on demand.
  • Built five domain-specific agents and a self-service persona creator; added multimodal skills (text ↔ image, speech ↔ text), and an Excel plug-in that converts natural-language questions to SQL, returning answers from multi-sheet workbooks in under five seconds.
  • Extended analysis of live data by writing universal connectors for Snowflake, MSSQL, and Oracle, enabling chat-based queries over tables with millions of rows while enforcing role-based access and credential vaulting.
  • Replaced Azure AI Search with an in-house PGVector pipeline featuring custom chunking and embedding logic, trimming retrieval latency by 60 percent, and reducing search spend by 55 percent.
  • Re-engineered the platform in a two-week sprint for LA Screenings, demoing live to 1,000 industry attendees; earned executive praise, and sparked a backlog of AI requests company-wide.
  • Led a 12-week AI Incubation program for 10 cross-functional teams (25 participants), delivering hands-on training with the platform, GitHub Copilot, and Microsoft 365 AI; post-pilot surveys showed a 40 percent boost in developer throughput.
  • Authored end-to-end documentation, recorded video walkthroughs, and ran hyper-care sessions that drove user satisfaction scores above 90 percent and opened the codebase to community contributions under an internal 'open source' model.
  • Safeguarded sensitive marketing assets by isolating workloads in private VNets, encrypting blobs at rest, integrating Okta SSO, and enforcing least-privilege RBAC; passed security review with zero findings.

Business Intelligence and Data Analyst

Sony Pictures Entertainment Inc
Culver City, CA
01.2023 - 09.2023
  • Retired the legacy RConnect environment by containerizing 15 web applications and 80 cron jobs (2–10 per app), pushing images to ECR, and running them on ECS Fargate and SageMaker Processing.
  • Decommissioned obsolete ECS services, and codified infrastructure and secrets in Terraform and AWS Secrets Manager to tighten security and simplify maintenance.
  • Replaced a five-step release chain (Git, Jenkins, Terraform, Jenkins, ECS) with a single Jenkins trigger plus Airflow orchestration, giving data science teams one-click redeploy and rescheduling.
  • Built streaming and batch pipelines with AWS Lambda and Kinesis that process millions of entertainment industry records each day from IMDb, Rotten Tomatoes, Brandwatch, YouTube, and other sources for ETL and model training.
  • Optimized Teradata query performance by analyzing logs, mapping dependencies, and trimming latency on high-traffic tables.
  • Created Tableau dashboards that visualized Teradata usage patterns and guided the phased migration to Snowflake.
  • Refactored 5,000 lines of R analytics code into modular, test-driven Python with secure Boto3 credential handling, improving maintainability and runtime.
  • Migrated more than 10 application schedules into MWAA (Airflow) for centralized orchestration, restart, and back-fill.
  • Consolidated 14 GitHub repositories into governed codebases, and wired them into Jenkins pipelines for consistent CI/CD.
  • Ran QA, UAT, and data-audit checks with Snowflake, S3, and Teradata to keep critical reports reliable.
  • Integrated Okta SSO, automated SSL certificate rotation, and enforced least-privilege IAM policies, passing InfoSec review with zero findings.
  • Produced runbooks and technical documentation in Confluence and SharePoint, and delivered demos and one-on-one walkthroughs to about 30 engineers, data scientists, and business stakeholders to drive adoption.

Intern, IT Merchandising Engineer

Sephora
San Francisco, CA
06.2022 - 08.2022
  • Successfully developed a production-level web application product from the ground up that allows for ease of merchandise tracking throughout multiple store locations.
  • Worked closely with different teams and departments to gather business needs and requirements.
  • Participated in daily and weekly standup meetings to discuss goals and project status.
  • Used Java and Spring Boot to develop RESTful APIs that connected to a React-based front end.
  • Created back-end services to perform necessary CRUD operations.
  • Used Postman to test multiple APIs.
  • Managed large datasets stored in an Relational Database Management System.

Intern, Junior Software Engineer

Diligente Technologies
Santa Clara, CA
06.2021 - 08.2021
  • Assisted in developing an in-house product that manages multiple resources.
  • Designed a wide variety of back-end service APIs using NodeJS that collect data from various sources, clean the data, and reformat the data to be stored in a MySQL database.
  • Tested multiple back-end services using Postman.
  • Participated in weekly stand-up meetings and provided the team with critical feedback.

Education

Bachelor of Arts - Statistics And Data Science

University of California, Santa Barbara
Santa Barbara, CA
12-2022

Skills

  • Programming and Scripting: Python (advanced), JavaScript / TypeScript, Java, C, C#, SQL
  • AI / ML & LLM Ops: Azure OpenAI (GPT-35, GPT-4, GPT-4o), LangChain, Microsoft Semantic Kernel, Prompt Engineering, Retrieval-Augmented Generation (RAG), Vector Databases (PGVector, FAISS), SageMaker Processing, Scikit-learn, NumPy, Pandas, Matplotlib, Tableau
  • Cloud & DevOps Azure: OpenAI, Blob Storage, AI Search, VNets, RBAC AWS: ECS Fargate, Lambda, Kinesis, SageMaker, MWAA (Airflow), Secrets Manager Terraform, Docker, Jenkins, GitHub Actions, CI/CD Pipeline Design, IaC, Monitoring & Cost Optimization
  • Web & Application Frameworks: React, FastAPI, Nodejs, Spring Boot, Streamlit, Quart, HTML / CSS, RESTful, and GraphQL API design
  • Data Engineering & Databases: Snowflake, Teradata, PostgreSQL ( PGVector), MySQL, Microsoft SQL Server, Oracle, Azure Blob Storage, AWS S3
  • Collaboration, Security, and Governance: Okta SSO, IAM least-privilege design, SSL automation, Confluence, SharePoint, JIRA, Agile/Scrum, Test-Driven Development, and SDLC best practices
  • Productivity and Office: Excel (advanced), PowerPoint, Word, Visio

Certification

  • Microsoft Certified: Azure AI Engineer Associate
  • Microsoft Certified: Azure AI Fundamentals
  • SAS Certified Specialist: Base Programming Using SAS 9.4 Certification

Timeline

AI Engineer

Sony Pictures Entertainment Inc
09.2023 - Current

Business Intelligence and Data Analyst

Sony Pictures Entertainment Inc
01.2023 - 09.2023

Intern, IT Merchandising Engineer

Sephora
06.2022 - 08.2022

Intern, Junior Software Engineer

Diligente Technologies
06.2021 - 08.2021

Bachelor of Arts - Statistics And Data Science

University of California, Santa Barbara
Rohit Pulipaka