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IQVIA RDS LTD Alum Healthcare AI & Clinical Systems FinTech Streaming (5,000+ TPS)

Engineering Intelligent
Scalable Systems & AI.

Hi, I'm Ebin Shaji. I specialize in bridging cutting-edge Machine Learning (TensorFlow, PyTorch) with high-throughput backend infrastructure (Java Spring Boot, Apache Kafka, Redis, FastAPI). From deploying clinical AI diagnostics with HIPAA-grade compliance at IQVIA to engineering sub-100ms real-time anti-money laundering engines.

Ebin Shaji

Ebin Shaji

B.E. Computer Science | VTU (7.8 GPA)

STREAMING THROUGHPUT
5,000+
Transactions / Sec via Kafka Broker
STREAM LATENCY
<100ms
Sub-second Real-Time Event Scoring
ML FRAUD PRECISION
87%
Accuracy & -16% False Positive Rate
ACADEMIC EXCELLENCE
7.8 GPA
VTU CSE + 80% TCS NQT Certified

// CLIENT SERVICES & CAREER OPPORTUNITIES

Website Development, Digital Marketing & Engineering

High Demand
💻

Full-Stack Website & Web App Development

High-performance, ultra-fast websites and web applications built from scratch with custom UI/UX, seamless interactivity, and enterprise architecture.

  • Custom Responsive Websites & Portals
  • React, Node.js, Spring Boot & FastAPI
  • 3D Interactivity • 99+ PageSpeed Score
  • E-Commerce • SaaS Dashboards • APIs
Request Web Dev Quote ↗
Growth
📈

Technical SEO & Digital Marketing

Data-driven digital marketing and deep technical SEO to rank #1 on Google search results, drive organic buyer traffic, and scale customer conversion funnels.

  • Technical SEO Audit • Keyword Optimization
  • Conversion Rate Optimization (CRO) & Funnels
  • Google Analytics, Tag Manager • Tracking
  • Social Media Campaigns & Lead Generation
Grow Your Online Traffic ↗
Careers
🚀

Software Developer & AI Roles

Available for full-time software engineering and AI systems roles. Proven production experience at IQVIA with clinical models, Kafka streaming, and cloud platforms.

  • Full-Stack Developer • AI/ML Systems Engineer
  • Apache Kafka • Redis • Spring Boot • Python
  • Healthcare • FinTech • Cloud Microservices
  • Immediate Availability • Remote or On-Site
Schedule an Interview ↗

// INDUSTRY CAREER HISTORY

Production Experience at IQVIA RDS LTD

Software Developer

IQVIA RDS LTD

February 2025 - February 2026
  • Healthcare AI Model Productionization: Productionized machine learning models using TensorFlow and PyTorch for clinical use cases including predictive diagnostics, patient risk scoring, and medical imaging inference.
  • Clinical NLP Engine: Architected and implemented Python-based NLP to extract structured, actionable clinical insights and risk entities from unstructured physician notes and electronic health records.
  • High-Throughput Clinical Stream Processing: Harnessed Pandas, NumPy, and Apache Kafka to ingest and process large-scale clinical trial datasets for real-time AI inference and statistical analytics.
  • Clinical Decision Support Systems (CDSS): Engineered AI-driven UI components to equip healthcare providers and doctors with instant, actionable real-time patient risk alerts.
TensorFlow PyTorch Clinical NLP Apache Kafka Python Predictive Diagnostics Pandas & NumPy

Interactive Simulation: Clinical NLP Note Extraction

Click "Parse Note with Clinical AI" to execute real-time entity recognition simulation.

Healthcare Data & Full-Stack Intern

IQVIA RDS LTD

August 2024 - January 2025
  • Healthcare Data Engineering & ETL: Built scalable ETL data pipelines and optimized complex SQL / Snowflake analytical queries to process massive clinical and commercial healthcare data warehouses.
  • Full-Stack Enterprise Applications: Developed high-performance web applications and analytics dashboards leveraging React / Angular on the frontend and Node.js, Java, or .NET on the backend.
  • Cloud & Microservices Architecture: Architected and deployed secure, resilient microservices across AWS & Azure to support mission-critical global clinical trial trial platforms.
  • Regulatory Compliance & Data Privacy: Built software in stringent adherence to global healthcare privacy regulations including HIPAA, GxP, and GDPR, ensuring enterprise "healthcare-grade" security.
  • Agile Scrum & CI/CD Pipelines: Collaborated within global cross-functional Scrum teams utilizing JIRA and automated CI/CD pipelines for zero-downtime releases.
React & Angular Node.js Java AWS & Azure Snowflake & SQL HIPAA & GDPR Docker & CI/CD

// FLAGSHIP SYSTEMS & SIMULATIONS

Interactive Projects & Sandboxes

High-Throughput Streaming Engine

Real-Time Fraud Detection & AML Engine

A hybrid microservices architecture engineered to intercept fraudulent financial transfers and money-laundering patterns in real time with sub-100 millisecond response times.

  • Hybrid Architecture: Java (Spring Boot) transaction processing + Python (FastAPI) real-time ML scoring microservice.
  • Apache Kafka Streaming: Ingests & processes 5,000+ financial transactions per second with sub-100ms latency.
  • Distributed Caching: Redis in-memory cache for customer risk scoring and instant blacklist verification.
Apache Kafka Spring Boot (Java) FastAPI (Python) Redis Cache Docker
Real-Time Streaming Fraud Engine

Live Sandbox: Apache Kafka & Spring Boot Pipeline

Send simulated transactions through the ingestion, cache, and ML scoring stages.

5,240 /s
Kafka Ingestion Throughput
68 ms
End-to-End Pipeline Latency
142,850
Processed Transactions
1,842
AML Threats Intercepted
1. Kafka Ingest
Partition 04 • 5k msg/s
2. Spring Boot Engine
Validation & Routing
3. Redis Cache
Blacklist & Hot Profiles
4. FastAPI ML Scorer
Fraud Logit Inference
System Ready Pipeline Active
Ready to stream. Test transactions to evaluate Kafka message latency and AML scoring.
TIME TXN ID AMOUNT RISK VERDICT
10:48:12 TXN-492819 $42.10 0.04 PASSED
10:48:11 TXN-718290 $129.50 0.12 PASSED
10:48:09 TXN-902184 $8,900.00 0.91 FLAGGED
Clinical AI Diagnostics and Diagnostics
Machine Learning Engineering

Credit Card Fraud Detection Pipeline

Fine-tuned logistic regression and ensemble machine learning models to solve severe class imbalance in transaction data, achieving an 87% accuracy rate.

  • False Positive Reduction: Slashed false positives by 16% through rigorous feature engineering and Bayesian hyperparameter tuning.
  • Class Imbalance Mitigation: Deployed targeted under-sampling and ensemble strategies yielding a 15% overall performance lift.
  • Business Impact: Optimized model computational efficiency by 23% while boosting precision by 6%.
Python Scikit-Learn Logistic Regression Ensemble Methods Matplotlib

Live ML Inference Simulator: Fraud Probability Sandbox

Manipulate features to observe how the trained logistic regression decision boundary recalculates risk probability in real time.

Transaction Amount $500
Geo-Location Distance Delta 10 km
Attempt Velocity (Last 10 Min) 1 tx / 10m
Time of Day (Local Hour) 14:00 hrs
CALCULATED FRAUD RISK 7.4%
LOW RISK

Transaction cleared. Logistic model confidence 97.4%. Normal behavioral profile.

// TECHNICAL ARSENAL

Interactive Skills Matrix

🐍

Python

Advanced • Core
☕

Java / Spring

Advanced • Systems
❄️

SQL / Snowflake

Advanced • ETL
⚡

Apache Kafka

Distributed Streaming
🧠

TensorFlow / PyTorch

Deep Learning
📊

Scikit-Learn

Algorithms & Ensembles
⚡

Redis Cache

In-Memory DB
⚛️

React / Angular

Frontend Engineering
☁️

AWS & Azure

Cloud Infrastructure
📈

Power BI / Tableau

Data Visualization
🔢

Pandas & NumPy

Data Engineering
🗄️

MySQL / SQLite

Relational Storage
SKILL SPOTLIGHT

Python

Primary programming language for AI modeling, clinical NLP extraction, and FastAPI microservices.

REAL-WORLD PRODUCTION IMPACT:

Meta Python Certified. Used at IQVIA for unstructured notes NLP and predictive diagnostic inference pipelines.

SOFT SKILLS & LEADERSHIP
Rapport Building Strong Stakeholder Management People Management Global Cross-Functional Scrum

// CREDENTIALS & ACADEMICS

Education & Professional Certifications

🎓

Visvesaraya Technological University

MVJ College of Engineering, Whitefield, Bangalore

Bachelor of Engineering in Computer Science & Engineering

GPA: 7.8 / 10.0 • Graduated August 2024

Rigorous coursework covering Data Structures & Algorithms, Distributed Systems, Relational & NoSQL Database Design, Object-Oriented Software Architecture, and Artificial Intelligence.

Programming in Python

Meta
January 2023

Mastered fundamental Python syntax, control flow, functions, procedural paradigms, data structures, and algorithmic logic.

Data Analyst Professional

Plasmid
March 2023

Learned the comprehensive data ecosystem, end-to-end ETL architecture, big data foundations, and systematic data gathering, cleansing, and preparation.

🏆

TCS NQT Examination

Scored 80% Percentile

National Qualifier Test validating advanced numerical ability, verbal analysis, and algorithmic coding acumen.

🛡️

NPTEL Certification

Privacy and Security in Online Social Media (Qualified)

Rigorous study of data privacy vulnerabilities, social network graph analysis, and defensive digital safeguards.

// TRANSMISSION CONSOLE

Let's Build Something Exceptional

Get in Touch

Whether you're building a high-volume streaming data pipeline, integrating clinical AI, or looking for an engineer who delivers robust production code, I'm ready to collaborate.

LINKEDIN
Ebin Shaji
Connect ↗
📍 Located in Bangalore, India • Open to Worldwide Remote & On-Site

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