Diksha Nain
@dikshanain
AI/ML Engineer at PropVIVO building agentic workflows and a self-updating RAG knowledge system for HOA operations.
IndiaWhat I'm looking for
At PropVIVO, I built AI-driven automation for an HOA management platform, including a LangGraph workflow that takes service requests from creation to resolution. I also designed a self-updating RAG knowledge system using Azure AI Search and built a model to forecast HOA budgets and flag cost anomalies.
At Tech Swarm Pvt. Ltd., I designed GPT-powered pipelines that turned unstructured business information into structured leads, with LLM-based routing for data discovery. I also contributed to computer vision and deep learning research at Cosdro Technologies Pvt. Ltd. (Arogo AI), and built an Android app for offline driver fatigue and crash detection.
Experience
Work history, roles, and key accomplishments
AI/ML Engineer Intern
PropVIVO
Apr 2026 - Sep 2026 (5 months)
Built AI-driven automation across business operations, financial planning and knowledge management for an HOA management platform, replacing manual workflows with autonomous systems. Architected agentic workflows, RAG-based knowledge systems, and predictive forecasting models.
GenAI Intern
Tech Swarm Pvt. Ltd.
Jun 2025 - Jul 2025 (1 month)
Built GenAI-driven automation and data intelligence solutions that transformed unstructured business information into actionable leads. Designed pipelines using GPT models for summarization, classification, and keyword generation, and engineered LLM-based routing for lead discovery.
AI/ML Engineer Intern
Cosdro Technologies Pvt. Ltd. (Arogo AI)
Feb 2025 - Mar 2025 (1 month)
Contributed to applied AI/ML research and development, supporting the refinement of intelligent systems focused on improving model performance, assessment accuracy, and user experience. Conducted computer vision and deep learning experiments to evaluate and refine model architectures.
Education
Degrees, certifications, and relevant coursework
UPES
B.Tech, Computer Science
2022 -
Grade: 8.93
Pursuing B.Tech in Computer Science and Engineering with a CGPA of 8.93.
CBSE
XII (CBSE), General
2019 - 2022
Grade: 95.2%
Completed Class XII and Class X from CBSE with 95.2% and 95.6% respectively.
Google Cloud Skills Boost
Introduction to Generative AI, Generative AI
Completed certification in Introduction to Generative AI.
Google Cloud Skills Boost
Machine Learning Operations (MLOps) for Generative AI, MLOps
Completed certification in Machine Learning Operations (MLOps) for Generative AI.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Salary expectations
Job categories
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