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Hi, I'm

Anuj — Data & AI Engineer

DATA & AI ENGINEER FINTECH

I architect credit risk platforms that process 10,000+ loan applications daily and real-time pipelines handling 1M+ events with sub-second latency. Three years turning raw fintech data into automated lending decisions.

0
YRS IN FINTECH
0
DAILY LOAN APPS
0
EVENTS / DAY
DP-600
CERTIFIED
Anuj — Data & AI Engineer
DATA & AI ENGINEER
SCROLL
02

About Me

BIO

It started with a B.Tech in Artificial Intelligence at Vivekananda Global University, where I got my hands dirty with data structures, machine learning, and Hadoop. But the real education began when I stepped into Mandelbulb Technologies as a Data Engineer — building end-to-end pipelines on Azure and Databricks, learning what it actually means to make data reliable at scale.

That foundation led me deeper. I started integrating LLMs and open-source AI into production workflows, picked up the DP-600 Microsoft certification, and earned an Agentic AI certificate from DeepLearning.AI. Along the way, I learned that the hardest engineering problems aren't about the tools — they're about understanding how a business actually works and encoding that logic into systems that run thousands of decisions per day without breaking.

Now at Bharat Fincare, I'm building intelligent financial tools — credit analyzers, bank statement parsers, automated reporting systems on AWS — the kind of infrastructure that turns a fintech from manual to machine-driven. I'm looking for a team that treats data infrastructure as a competitive advantage, not an afterthought.

Azure Databricks Python LLMs Fintech RAG CrewAI AWS

DETAILS

NAME Anuj
ROLE Data & AI Engineer
TEAM Bharat Fincare (Current)
EDUCATION B.Tech in AI — VGU, Jaipur
SECTOR Fintech
AVAILABILITY Immediate Availability
DP-600 (Fabric Analytics Engineer)
Agentic AI — DeepLearning.AI
03

Skills & Technologies

Languages

Core Languages
Python SQL PySpark KQL

Cloud & Data

Cloud & Data Platform
Azure Data Factory Databricks Microsoft Fabric PostgreSQL / MySQL Event Hubs / Kafka Delta Lake AWS (S3 / EC2)

AI & ML

AI & Machine Learning
LLMs / RAG LangChain CrewAI OpenAI / Azure AI Multi-Agent Systems PyTorch / TensorFlow

DevOps & Tools

Infrastructure & Tooling
Docker FastAPI / Flask Git / CI-CD Power BI REST APIs Kubernetes
04

Projects

Client Projects

01

Fintech Risk Intelligence Platform

Loan underwriters were manually reviewing applications using spreadsheets — slow, error-prone, and unscalable. I built an automated credit risk platform integrating Account Aggregator feeds, CIBIL scoring, and behavioral analytics. Now processes 10,000+ applications daily with zero manual triage.

PythonFastAPIPostgreSQLAzureLLMs
2024-Present
02

Fleet Telemetry — Real-Time Pipeline

Fleet operations relied on batch processing that delivered insights hours too late. I engineered a streaming pipeline with Azure Event Hubs and Databricks ingesting 1M+ daily telemetry events — cutting data delay from hours to milliseconds and reducing operational costs by 20%.

AzureDatabricksEvent HubsPySparkPower BI
2023-2024
03

AI Assistant — RAG + Azure OpenAI

Teams needed instant access to scattered internal knowledge. I built an AI Assistant using Retrieval-Augmented Generation and Azure OpenAI with Microsoft Fabric OneLake for storage and KQL for retrieval — achieving 0.1s query response times and 1-2s LLM output with CI/CD on Azure App Services.

Azure OpenAIRAGMicrosoft FabricKQLCI/CD
2024
04

CIBIL Data Automation System

Repetitive CIBIL data fetches via TransUnion were driving high recurring API costs. I built a caching system that extracts key credit data (PAN, name, score) from local sources, stores it in PostgreSQL with AWS S3 backup — significantly cutting third-party API costs and response times.

PythonPostgreSQLAWS S3REST APIs
2025
05

Credit Analyzer — Desktop Application

Credit managers lacked a unified tool to assess risk efficiently. I designed a desktop-based Credit Analyzer using Python (PyQt6) for the UI, deployed as a microservice with REST APIs — streamlining credit evaluation workflows and improving decision accuracy.

PythonPyQt6REST APIsMicroservices
2025
06

Executive Power BI Dashboard

C-level executives lacked real-time visibility into key business KPIs. I created an interactive Power BI dashboard that identified underperformance areas and provided data-driven recommendations — aligning metrics with organizational goals and decision-making needs.

Power BISQLData Modeling
2025

Personal Projects

01

Multi-Agent Book Writer — CrewAI

Writing a structured book requires research, drafting, and editing — typically weeks of sequential human effort. I orchestrated a multi-agent system using CrewAI where specialized AI agents collaborate on each phase, producing cohesive long-form content in under an hour.

CrewAILangChainPythonOpenAI
2024
02

Lead Vision Pro — Lead Analytics

Sales teams needed a smarter way to prioritize leads. I built an analytics platform that scores and ranks leads using data-driven signals, helping teams focus on high-conversion prospects and improve pipeline efficiency.

PythonData AnalyticsML
2024
03

Customer Insights — Analytics Platform

Businesses struggle to extract actionable patterns from customer data. I built a Python-based analytics platform that segments customers, identifies behavior trends, and surfaces insights for retention and growth strategies.

PythonPandasData Analysis
2024
04

Australian Company Data — ETL Pipeline

Raw government registration data arrived in inconsistent formats blocking downstream analysis. I built an automated ETL pipeline with data quality validation gates, transforming unreliable source data into clean, analysis-ready datasets.

PythonJupyterETLData Pipeline
2024
05

Bharat Fincare Dashboard

Built a financial reporting dashboard for Bharat Fincare, providing real-time visibility into credit operations, loan processing metrics, and team performance — enabling data-driven management decisions.

CSSHTMLJavaScriptDashboard
2025
06

Spam Email Classifier — ML

Built a machine learning classifier to automatically distinguish spam emails from legitimate ones using text features and NLP techniques — demonstrating end-to-end ML pipeline from data preprocessing to model evaluation.

PythonScikit-learnNLPJupyter
2024
05

Experience

Data & AI Engineer

Bharat Fincare
May 2025 — Present
  • Developed intelligent financial tools like Credit and Bank Statement Analyzers for Credit Managers, streamlining credit evaluation processes
  • Designed and implemented a scalable reporting architecture on AWS using Power BI and MySQL, enabling actionable insights
  • Enhanced data quality by automating error detection and correction through web scraping techniques
PythonAWSPower BIMySQLLLMs

Software Developer

Freelancing
Nov 2024 — Mar 2025
  • Redesigned and enhanced a CSR website using AI-assisted tools, leveraging HTML, CSS, and JavaScript to improve user experience and performance
  • Assisted the organization in securing a free Google Grant for CSR initiatives, collaborating with Business Development Executives and SEO specialists
HTMLCSSJavaScriptSEO

Data Engineer

Mandelbulb Technologies
July 2023 — Sept 2024
  • Developed and optimized end-to-end data pipelines using Microsoft Azure, ADF and Databricks, boosting data processing by 20%
  • Improved query performance and data quality, cutting errors by 15% and reducing load times by 15%
  • Integrated AI solutions with open-source LLMs and OpenAI to enhance data-driven decision-making
AzureDatabricksADFPySparkOpenAI
06

Get in Touch

Let's Build Something

I'm looking for Data & AI Engineer roles. If your team needs someone who has already shipped fintech platforms and real-time pipelines at scale — let's talk.