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Gogurla Rishithram

AI/ML Engineer | Full-Stack Developer • Hyderabad • g******************@gmail.com • 998****073 • linkedin.com/••••• • drivetube.ai/•••••

Professional Summary

AI/ML Engineer with 0 years of professional experience, internship experience at Microsoft Azure and IBM SkillsBuild, and hands-on full-stack delivery of production AI systems using Anthropic Claude, OpenAI, and RAG pipelines. Built and deployed three live AI products, completed multiple cloud and GenAI certifications, and available for immediate hire.

Technical Skills

Programming Languages: Python,TypeScript,JavaScript,C,C++
Frameworks and Libraries: React,Tailwind CSS,Node.js,Express
Databases: SQL,PostgreSQL,Drizzle ORM
Cloud and DevOps: Microsoft Azure,CI,CD
Data and Analytics: Anthropic Claude API,OpenAI Assistants API,Retrieval-Augmented Generation,Agentic AI,Natural Language Processing,Generative AI
Tools and Methodologies: Git
Frontend: Vite,Framer Motion

Work Experience

Microsoft Elevate & Philanthropies (Microsoft Azure Intern)
Remote
Microsoft Azure Intern
Jan 2026 – Feb 2026
Remote internship through Microsoft Elevate & Philanthropies (AICTE) focused on Azure cloud infrastructure, security, and exploring AI service integrations for deployment and DevOps.
Tech Stack: Microsoft Azure, Virtual Machines, Azure Storage, App Service, VNet, Git, GitHub, CI, CD
  • Deployed and managed Virtual Machines, Azure Storage, App Service, and VNets to provision reproducible environments for AI demos and model hosting using Azure tooling and scripted templates.
  • Configured network security groups and access controls to secure cloud resources, establishing role-based access patterns and storage policies for project assets.
  • Explored integration of AI services on Azure to support inference workflows and end-to-end deployment, validating model hosting and service connectivity for prototype applications.
  • Implemented repeatable deployment steps and basic CI/CD flows with Git and GitHub to automate builds and environment provisioning for mentor review and demo.
  • Authored deployment runbooks and environment documentation covering setup, operations, and troubleshooting to enable smooth handover and reproducibility.
  • Collaborated with remote mentor team across a structured 4-week sprint, tracked tasks, and delivered documented deployments and demo-ready environments on schedule.
IBM SkillsBuild (AI for Sustainability)
Remote
AI Intern — AI for Sustainability
Dec 2025 – Jan 2026
Remote IBM SkillsBuild internship focused on applying RAG pipelines and agentic AI workflows to real-world sustainability problems aligned to UN SDGs.
Tech Stack: Retrieval-Augmented Generation, Agentic AI, Natural Language Processing, Generative AI, Python, Git
  • Designed and implemented retrieval-augmented generation pipelines to enable accurate domain-aware answers for sustainability datasets, improving contextual relevance of LLM responses.
  • Built agentic AI workflows to decompose sustainability tasks and orchestrate model calls, enabling modular, testable pipelines for complex query handling.
  • Conducted research into NLP and generative model techniques, benchmarking outputs and documenting configuration recommendations for responsible AI deployment.
  • Constructed end-to-end data pipelines: ingestion, preprocessing, and dataset preparation to support training and evaluation of retrieval and generation components.
  • Defined validation and evaluation steps to measure model fidelity on sustainability tasks, creating reproducible tests and examples for mentor review.
  • Prepared comprehensive documentation of workflows, configurations, and ethical considerations to support handover and scaled replication of solutions.
Pantech e Learning Pvt. Ltd.
Hyderabad
VLSI Design Intern — Verilog & System Verilog
May 2026 – May 2026
On-site VLSI design internship at Pantech e Learning focused on RTL design and simulation using Verilog and SystemVerilog under industry mentorship.
Tech Stack: Verilog, System Verilog, RTL Design, Simulation, Testbenches
  • Designed RTL modules in Verilog and SystemVerilog for assigned digital blocks, developing comprehensive testbenches to verify functional behaviour.
  • Simulated designs to validate correctness and exercised corner cases using directed and randomized tests, identifying and resolving functional issues.
  • Applied assertions and coverage checks to improve verification completeness and tracked coverage to ensure targeted scenarios were exercised.
  • Prepared synthesis-ready code following industry coding guidelines and collaborated with mentors to refine timing- and area-aware implementations.
  • Documented design rationale, simulation results, and verification procedures in lab reports used for training and internal review.
  • Presented design results and incorporated mentor feedback to finalize demonstrations and improve implementation robustness.

Projects

Intelligent OCR System — AI Document Reconstruction
Tools Used: Python, React, PostgreSQL, Anthropic Claude API, Drizzle ORM, TypeScript
  • Built a production AI platform that restores damaged documents via an 11-step preprocessing pipeline and Anthropic Claude contextual reconstruction, achieving 90–93% reconstruction accuracy on real-world documents.
  • Engineered 80+ OCR error-correction patterns, integrated multi-language support, and added summarization and an analytics dashboard for usage insights.
  • Delivered full product features including JWT authentication, corrections audit trail with confidence scoring, and deployment-ready backend using Express and Drizzle ORM.
Deepfake Detector PRO — Multimodal AI (AMD Developer Hackathon)
Tools Used: React, Express, Anthropic Claude Vision API, TypeScript
  • Built a multimodal deepfake detection application using Claude Vision that produces REAL/FAKE/UNCERTAIN verdicts, region heatmaps, and forensic reports.
  • Implemented performance telemetry including inference time, hardware speedup comparisons, and per-scan accuracy statistics, surfaced through a production monitoring dashboard.
Pay-Per-Help AI — LabLab Agentic Economy
Tools Used: React, OpenAI Assistants API, RAG, PostgreSQL, MetaMask
  • Developed a micropayment AI tutor prototype enabling $0.005/question mock USDC payments with RAG-backed responses and MetaMask wallet integration; built in a 7-day sprint and deployed live.
  • Awarded Outstanding Performance for innovation and delivery by LabLab / NativelyAI; implementation included analytics, billing flows, and secure wallet interactions.

Education

MVSR Engineering College (Maturi Venkata Subba Rao)
Bachelor of Technology — Electronics & Communication Engineering • Hyderabad • 2024 – 2028

Certifications

Oracle Certified GenAI Professional — Oracle University • Oct 2025
Oracle Certified Data Science Professional — Oracle University • Sep 2025
Oracle Certified AI Foundations Associate — Oracle University • Sep 2025
Microsoft AI Skills Fest 2026 — Microsoft • 2026
HackerRank Software Engineer Certified — HackerRank • Feb 2026
Python 3.4.3 — Score: 95% — IIT Bombay (Spoken Tutorial) • Apr 2026
C & C++ Training — IIT Bombay (Spoken Tutorial) • Jun 2025

Achievements

  • Outstanding Performance — LabLab Agentic Economy (Arc Hackathon, NativelyAI) — Apr 2026: Awarded for innovation and working product delivery in LabLab Agentic Economy hackathon.
  • Outstanding Performance — AMD Developer Hackathon — May 2026: Recognized for the Deepfake Detector PRO multimodal AI solution.
  • Microsoft AI Skills Fest — Badge Achievement — 2026: Completed AI skills challenges and obtained official recognition.
  • HackerRank Software Engineer Certification — Passed — Feb 2026: Certified via HackerRank role-based assessment.
  • Captain — GeeksforGeeks Hackfest — 2025: Led team participation in GeeksforGeeks Hackfest through classroom program.

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