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OSHANK PIPLANI

Open to work1 years experience

Full-Stack AI Engineer

MumbaiTarget Roles: Backend Engineer • Full-Stack Developer • Frontend Specialist

Full-Stack AI Engineer | Generative AI Engineer | Python Developer

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Standing Rank

Rank Not Available

Developer Badges

Badges Pending

Skills & Technologies

33 skills
pythonjavajavascripttypescriptsqlflaskreactjsspring boothtmlcssspring mvcrest apismicroservicespytorchnumpypandasopencvjpahibernatesupabasepostgresqlprompt engineeringlarge language models (llms)vector databasesretrieval-augmented generationlangchainanthropicopenai apiclaude codereactnodejsdockeraws

Work Experience

AI WORKFLOW DEVELOPER

M Moser Associates

Aug 2025 - Mar 2026 Mumbai, India
  • Built production-grade GenAI full-stack applications using Python, Flask, React, MySQL, PostgreSQL (pg vector).
  • Implemented image vector similarity search using embeddings and pg vector.
  • Created an AI-powered proposal generation system using LLMs and automating content creation and PPT generation from database-driven inputs.
  • Integrated SharePoint, MSAL authentication, and Microsoft Graph APIs for secure enterprise workflows.

Projects

AI-Driven Client Proposal & Presentation Generator

PythonFlaskReactMySQLOpenAI LLMsMSALMicrosoft Graph API
  • Designed and built an end-to-end AI-powered proposal automation platform that generates tailored client proposals using structured data from MySQL.
  • Leveraged OpenAI LLMs to dynamically manipulate and refine proposal narratives based on user-selected parameters and business context.
  • Automated PowerPoint generation using the python-PPTX library, transforming AI-generated content into professionally structured presentations.
  • Integrated SharePoint for document storage and retrieval, enabling automated upload and versioning of generated proposals.
  • Implemented secure enterprise authentication using MSAL and Microsoft Graph APIs, ensuring role-based access and compliance.
  • Developed a responsive React frontend and robust Flask backend to orchestrate AI workflows and user interactions.

AI-Powered Image Similarity Search

PythonFlaskReactPostgreSQL (pg vector)OpenAI EmbeddingsMicrosoft Graph API
  • Developed an AI-driven image similarity search system by generating vector embeddings and indexing SharePoint-hosted images using pg vector.
  • Implemented semantic vector search to retrieve visually and contextually similar images, enabling fast and accurate discovery across large SharePoint repositories.
  • Integrated Microsoft Graph API to securely fetch and manage SharePoint assets, ensuring seamless enterprise data access.
  • Built scalable backend services in Python and Flask and an intuitive React-based frontend for efficient search and visualization workflows.
  • Optimized embedding generation and similarity queries for performance and reliability in production environments.

Virtual Try-On

PythonPyTorchOpenCVNumPyReactFlaskSQL
  • Built a virtual clothing try-on application using the pretrained VITON-HD model, a GAN-based framework for high-resolution image synthesis.
  • Leveraged geometric warping and attention mechanisms to align garments with user poses and synthesize photorealistic try-on results.
  • Designed preprocessing workflows for user uploads (pose estimation, segmentation) and post-processing for artifact reduction.
  • Integrated PyTorch-based inference pipelines into a scalable web backend built using flask.

AI Movie Recommendation System

SupabasePostgreSQLGradio
  • Built an intelligent movie recommendation system using semantic search with all-mpnet-base-v2 embeddings to match user preferences with a database of 9,672+ movies.
  • Implemented vector similarity search using cosine similarity algorithms to provide highly accurate movie recommendations based on natural language descriptions.
  • Integrated Supabase as the vector database for efficient storage and retrieval of movie embeddings with custom PostgreSQL functions for similarity matching.
  • Deployed interactive web interface using Gradio on Hugging Face Spaces, enabling users to get personalized movie recommendations through natural language queries.

Leaderboard Standings

Leaderboard Position Pending

Global test scores, peer standing percentiles, and algorithm leaderboard ranks are updated dynamically.

Assessment Highlights

Assessments Not Completed

Coding evaluations, system assessment results, and conceptual score badges will appear here after taking a test.

AI Collaboration Score

AI Collaboration Score Pending

Developer coding behavior, assistant cooperation, and AI pair-programming indicators are evaluated during live coding sessions.

Role Compatibility Profile

Role Compatibility Analysis Pending

Custom matching reports, candidate role compatibility percentiles, and core engineer strength profiles are processed once conceptual code screenings are complete.

Achievements

Certification

The AI Engineer Path - Scrimba

Certification

Open-source AI Models - Scrimba

Certification

Learn RAG - Scrimba

Certification

Intro to Claude AI - Scrimba

Certification

AI for Everyone - Coursera

Certification

Machine Learning Classification - Coursera

Certification

Engineer AI Agents with Agent Development Kit (ADK) - Google

Certification

Understand Google Cloud Agents - Google

Certification

Build Agents with Agent Development Kit (ADK) - Google

About Details

Professional Bio

Full-Stack Generative AI Engineer with industry experience in LLM integration, vector databases, agentic AI workflows, and enterprise backend development. Track record of building intelligent, scalable, production-grade applications.

B.Tech in Computer Science (Specialization in AI & ML)

Dehradun Institute of Technology, Dehradun (2021 - 2025)

Languages: English, Hindi
Email: Locked