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Shaibalini Kapuri

@shaibalinikapuri

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Data Analyst and AI Engineer specializing in computer vision, generative AI, and production MLOps pipelines.

India

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What I'm looking for

I’m looking for a role where I can build production-grade AI and data solutions—especially computer vision and generative AI—using solid MLOps practices and cloud deployment, while continuing to learn, research, and mentor others.

I’m a Data Analyst / AI Engineer with hands-on experience in computer vision, generative AI, and MLOps. At Latent view Analytics, I’ve automated CAD generation and engineering drawing QA by moving from manual inspection to OCR + Vision-Language Models, and I built experimentation pipelines for natural language-to-CAD generation with strong design consistency.

I also enjoy turning research into real systems—like a Graph RAG legal case retrieval platform using Flask/Vue.js, PostgreSQL, and LLMs, plus research writing and technical articles on DPO and RLHF. My projects include an end-to-end MLOps pipeline for heart disease prediction on GKE with fairness audits (Fairlearn) and SHAP explainability, multilingual sentiment analysis fine-tuned with LoRa/PEFT, and mosquito detection with YOLOv9 + RT-DETR; I bring a mentoring and teaching-focused mindset alongside cloud-certified ML engineering.

Experience

Work history, roles, and key accomplishments

Current

Analyst

Current

Latent View Analytics

Nov 2025 - Present (8 months)

Researched and developed proof-of-concepts for automated CAD generation and text-to-CAD models using Stable Diffusion. Led engineering drawing QA automation using OCR and vision-language models (VLMs), and built experimentation pipelines for natural language-to-CAD generation.

Stable Diffusion CAD Text to CAD Vision Language Models Experimentation Pipelines

Current

Mentor & Level 1 VIVA Examiner

Current

IITM BS Degree

May 2024 - Present (2 years 2 months)

Mentored students on application development project delivery and provided technical feedback. Evaluated projects as a VIVA examiner and helped connect theoretical concepts to practical implementation.

Viva Assessments

Data Analyst Intern

IITM BS Degree Programme

Jun 2025 - Aug 2025 (2 months)

Analyzed 9,000+ student project records using Python to identify performance distribution, reattempt patterns, and completion rates. Built interactive Power BI dashboards and produced reports to support faculty decisions on curriculum and evaluation.

Python Pandas Data Analysis Power BI Data Reporting

Teaching Assistant (Business Analytics)

IITM BS Degree Programme

May 2024 - Aug 2025 (1 year 3 months)

Ran weekly live sessions and supported students with forum discussions and analytical concept help. Created study notes and problem-solving guidelines, and mentored students to improve performance and exam readiness.

Business Analytics Mentorship Student Support

AI Research & Development Intern

Glet Carafe

Jun 2024 - Nov 2024 (5 months)

Designed and deployed a Graph RAG legal case retrieval system with Flask and Vue.js, integrating iKanoon API, PostgreSQL, and LLMs. Authored research papers and published technical articles on DPO and RLHF.