Venkatesh Shivandi
Profile
Venkatesh Shivandi
Portland, ME 04103 • (617) 752-2171 • venkateshshivandi18@gmail.com
LinkedIn • GitHub
AI/ML Engineer with 2+ years building and shipping machine learning and multimodal LLM systems. Strong track record in transformer-based models, RAG and LoRA/PEFT fine-tuning, computer vision, and production ML workflows.
Professional summary
  • End-to-end AI product delivery: prototype → MVP → production (React, FastAPI, Supabase).
  • Document intelligence & CV solutions: 95% extraction accuracy and 6–7× cost reduction in production pilots.
  • Advanced LLM engineering: SFT, RAG, embeddings, prompt engineering, LoRA/PEFT fine-tuning.
  • MLOps & data engineering: feature pipelines, vector DBs, CI/CD, monitoring, Azure/AWS deployments.
Education

M.S., Applied Machine Intelligence

Northeastern University — Portland, ME

B.S., Computer Science

Osmania University — Hyderabad, India

Experience

AI Developer Intern — Aosenuma

Apr 2025 – Sep 2025 (Remote)

Improved document extraction to 95% and cut processing costs by 6–7×. Built an AI-powered e-invoicing MVP (React, FastAPI, Supabase) and a Chrome autofill extension that completes ~60% of common fields.

Research Assistant — Northeastern University

Feb 2024 – Jun 2024 (Portland, ME)

Developed Roux‑MMC for cardiac surgery risk prediction (AUROC 0.882–0.911), processed 30k+ records, and translated models into clinical visualizations and interventions.

Junior Software Engineer — Cognizant Technology Solutions

Apr 2022 – Jul 2023 (Hyderabad, India)

Supported enterprise OLTP systems (COBOL, DB2), led batch-job triage and optimization, and contributed to mainframe-to-cloud migration planning. Completed AZ‑900 certification.

Projects

Packaging Optimization — Allagash Brewing (Academic)

Data analysis & Power BI dashboards

Analyzed sales and seasonal trends to improve packaging efficiency and production planning.

Natural Language DB Access — Capstone

Applied AI / Sponsor: MRLBA

Building an LLM-driven analytics layer that converts natural language queries into structured data retrieval via semantic search and RAG pipelines.

Certifications
  • Oracle Certified: Generative AI Professional (2025)
  • Microsoft Certified: Azure Fundamentals (AZ‑900)
  • Microsoft Certified: Azure Data Engineer Associate (DP‑203)
Skills
  • Python
  • C++
  • SQL / NoSQL
  • Pandas, NumPy
  • PyTorch, TensorFlow, FastAI
  • OpenCV, CNNs
  • Transformers, LoRA / PEFT
  • RAG, Embeddings, LangChain
  • OpenAI API, Azure AI Studio
  • Vector DBs: pgvector, FAISS, Pinecone
  • FastAPI, Docker
  • Supabase, PostgreSQL, MongoDB
  • Azure, AWS
  • Git, GitHub Actions
  • VS Code, Jupyter