// AI-FOCUSED APPLICATION DEVELOPER

Building Intelligent Systems. 

AI developer with hands-on experience in Python, LangChain, and Generative AI — currently working at Cloudcove.ai on Salesforce Marketing Cloud and AI integrations. I build backend systems and intelligent web applications that turn complex problems into clean, scalable solutions.

0+
Year Experience
0+
Projects
0+
Technologies

Core Competencies

AI & Backend Engineering

PythonDjangoDjango REST FrameworkLangChainGoogle Generative AIFAISSREST APIsSQLiteMySQLCore Java

Cloud & Platforms

ServiceNow (ITSM/ITIL)AWS EC2FirebaseGitHubSalesforceMarketing CloudData Cloud

Frontend & Tooling

HTMLCSSJavaScriptReact.jsBootstrapTailwind CSSGenerative AIFAISS Vector Store

Where I've Worked

Junior Associate

Cloudcove.ai
May 2026 — Present
Pune, India
CURRENT
  • Currently learning Salesforce Marketing Cloud fundamentals and platform architecture
  • Working on client website sitemap planning and structure as part of onboarding projects
  • Completing AI and Data Cloud courses to prepare for upcoming project contributions

Application Developer Intern

ValueDx Technologies
Jan 2026 — May 2026
Pune, India
  • Developed and automated a vendor lifecycle management system covering onboarding, compliance validation, contract monitoring, and dashboard reporting
  • Explored ServiceNow administration and configuration including hands-on tasks and platform learning
  • Integrated Okta with ServiceNow for identity management as part of learning and internal exploration
  • Built notification and alerting pipelines within ServiceNow to streamline vendor communication workflows

Featured Work

01

FitBuddy (2025)

Problem:

Users struggle to find personalized meal plans that account for their dietary needs, weight goals, and food preferences in one place.

Approach:

Built an intelligent Django web app using LangChain + Google Generative AI embeddings stored in a FAISS vector store to power semantic recipe search and diet recommendations. Implemented user auth, meal logging, and automatic index updates.

Results:

End-to-end RAG pipeline with sub-second semantic search; full admin panel for diet content management; responsive UI with real-time meal tracking.

02

TrekMate (2024)

Problem:

Adventure booking platforms lack admin-side control for trek approval and payment verification, leading to booking mismanagement.

Approach:

Designed a full-stack Django app with separate user and admin flows — trek browsing with filters, online payment verification, and an admin dashboard for booking approvals and trek management.

Results:

Complete booking lifecycle from discovery to approval; secure transaction verification; admin control panel with full CRUD for trek listings.

03

Neighbourhood Marketplace (2024)

Problem:

Local communities lack a dedicated digital platform for hyperlocal commerce — people resort to generic platforms with no neighbourhood context.

Approach:

Built a community-driven marketplace in Django where users post, browse, and purchase products/services filtered by category, with moderation tools for admins.

Results:

Fully functional buy/sell platform with user auth, category browsing, and content moderation; encourages hyperlocal peer-to-peer commerce.

Academic Background

Education

2024–2026

Master of Computer Applications

Pimpri Chinchwad College of Engineering, Pune
Score: 81.7%
2020–2023

Bachelor of Computer Applications

K.T.H.M. College, Nashik
Score: 66.4%
2019–2020

HSC (12th)

K.S.K.W. College, Nashik
Score: 60%

Certifications

Java FullStack
FirstBit Solution, Pune
2023–2024