About

My journey into AI started long before large language models became mainstream.

I began in analytics, working with operational and business data to uncover patterns, improve processes, and support decision-making. Over time, that curiosity evolved into building data pipelines, automation systems, and eventually AI-powered applications.

Today, I focus on designing systems where data engineering and artificial intelligence work together. Whether it's orchestrating AI agents, building retrieval systems, processing large datasets, or creating intelligent business applications, I enjoy solving problems that sit at the intersection of software, data, and human decision-making.

Currently pursuing a Master of Science in Management Information Systems at Stevens Institute of Technology, I continue exploring scalable AI systems, cloud architecture, financial technology, and modern data engineering.

Core Expertise

AI Engineering

Building intelligent applications using large language models, agent orchestration frameworks, retrieval systems, and workflow automation.

Data Engineering

Designing reliable pipelines, data warehouses, and analytics systems that transform raw data into actionable business intelligence.

Financial Analytics

Applying quantitative analysis, reporting methodologies, and risk management concepts to support business decisions.

Cloud & Infrastructure

Deploying scalable applications using modern cloud platforms, containers, and automation technologies.

Technologies

AI & LARGE LANGUAGE MODELS

PythonOpenAIClaudeGeminiLangChainCrewAIAutoGenLlamaIndex

DATA ENGINEERING

Apache SparkApache KafkaSnowflakedbtAirflowPostgreSQL

CLOUD & INFRASTRUCTURE

AWSAzureDockerKubernetesTerraform

ANALYTICS & VISUALIZATION

Power BITableauSQL

Work

Projects.

01

JewelVault

AI-Powered ERP Platform for Jewelry Businesses. JewelVault is a business management platform designed for jewelry retailers and wholesalers. The system combines inventory management, sales operations, pricing intelligence, and AI-driven automation into a unified solution.

Key Features

  • AI-assisted inventory management and replenishment recommendations
  • Automated pricing intelligence based on market conditions
  • Augmented reality product visualization for customers
  • Business analytics and operational reporting

Tech Stack

FastAPIReactPostgreSQLPythonAI AgentsAR Technologies
02

Talk to Your Database

Natural Language Analytics for Structured Data. An AI-powered application that enables users to upload CSV datasets and interact with their data using natural language instead of traditional SQL queries.

Key Features

  • CSV-to-database conversion
  • Natural language query generation
  • Real-time SQL execution
  • Conversational analytics interface

Tech Stack

PythonStreamlitSQLiteGoogle GeminiPandas
03

AI SQL Chatbot

Conversational Data Exploration Platform. A chatbot application that allows non-technical users to retrieve insights from structured datasets through natural language conversations.

Key Features

  • Natural language to SQL translation
  • Interactive conversational interface
  • Automated query execution
  • Data exploration without SQL expertise

Tech Stack

PythonSQLiteStreamlitGemini APIPandas
04

Resume Autofill

Intelligent Resume Parsing Application. A desktop application that extracts structured information from resumes and converts unstructured documents into usable datasets.

Key Features

  • PDF and DOCX document parsing
  • AI-powered information extraction
  • Structured JSON output generation
  • Desktop-based workflow automation

Tech Stack

Node.jsElectronGroq APILlama 3pdf-parse
05

Crypto Data Pipeline

Automated Cryptocurrency Data Platform. A data engineering project that collects, processes, and stores cryptocurrency market data from multiple sources for analytics and reporting.

Key Features

  • Automated ETL workflows
  • Multi-source data collection
  • Scheduled pipeline execution
  • Historical data management

Tech Stack

PythonApache AirflowPostgreSQLDockerCoinGecko API
06

Supply Chain Analysis

Operational Analytics and Performance Optimization. An analytical project focused on identifying operational inefficiencies, delivery performance issues, and profitability opportunities within supply chain data.

Key Features

  • Exploratory data analysis
  • Delivery performance assessment
  • Category-level profitability analysis
  • Business performance recommendations

Tech Stack

PythonPandasNumPyMatplotlibSeaborn
07

Marketing Analytics

Customer and Campaign Performance Analysis. A data analytics project focused on evaluating customer behavior, campaign effectiveness, and business performance indicators.

Key Features

  • Customer segmentation analysis
  • Campaign effectiveness measurement
  • Statistical modeling
  • Business intelligence reporting

Tech Stack

PythonPandasStatistical AnalysisData Visualization

Career

Professional Experience.

2025 – Present

AI Agentic Consultant

DV Jewelry Corp

Consulting on AI systems that scale. Designing agentic workflows and data platforms that grow with business needs.

Key Contributions

  • Building scalable AI agent systems for business automation
  • Designing data pipelines and infrastructure for enterprise AI
  • Developing agentic workflows for operational efficiency
  • Implementing AI solutions that deliver measurable business impact
  • Architecting systems that handle growing data and user demands
  • 2024

    Data Analyst Intern

    Amcor Flexibles India Pvt. Ltd.

    Worked with manufacturing and operational datasets to improve reporting, performance analysis, and business visibility.

    Key Contributions

  • Built dashboards and reporting workflows for business teams
  • Analyzed production and operational data to identify trends and opportunities
  • Supported KPI tracking and performance measurement initiatives
  • Automated manual reporting processes to improve efficiency
  • 2023

    Data Analyst

    Zuplon Pvt. Ltd.

    Developed analytical solutions and reporting systems that transformed business data into actionable insights.

    Key Contributions

  • Created business intelligence dashboards and reports
  • Automated recurring reporting workflows
  • Conducted exploratory and statistical data analysis
  • Supported operational and management decision-making through data-driven insights
  • Education

    Master of Science

    Management Information Systems

    Stevens Institute of Technology

    Focus: Artificial Intelligence, Data Engineering, Cloud Computing, Business Analytics, Financial Technology

    Bachelor of Engineering

    Mechanical Engineering

    L.J. Institute of Engineering and Technology

    Contact

    Let's build something meaningful.

    I'm always interested in conversations around AI, data engineering, analytics, financial technology, and intelligent business systems.

    Whether you're exploring a new idea, building a product, or looking for technical collaboration, feel free to reach out.

    Location

    New York City, New York

    Connect