> About Me
AI/ML Specialist with 2+ years of experience architecting scalable data pipelines, ML systems, and streaming architectures using AWS, Kafka, Spark, and Docker.
Passionate about solving real-world challenges with intelligent systems and driving innovation in machine learning operations (MLOps). Currently pursuing MSc in AI & ML at University of Limerick.
> Core Attributes
> Skill Tree
Unlocked abilities and proficiencies
Languages
MasterFrameworks
ExpertBig Data
ExpertCloud & DevOps
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Python Mastery
Advanced Python programming
PyTorch Expert
Deep learning with PyTorch
Spark Architect
Big data processing
MLOps Pipeline
Production ML systems
Distributed Systems
Scale to millions
Quantum ML
Next-gen computing
> Quest Log
Career journey and achievements
Big Data/Programmer Analyst
Cognizant Technology Solutions • India
Jul 2022 – Aug 2024
- ▸Built scalable pipelines with Kafka, Apache Spark, and PostgreSQL; reduced reporting latency by 40%
- ▸Designed EMR job orchestration with Docker and Airflow for reproducible environments
- ▸Created modular Docker Compose system; cut data processing time by 15+ hours weekly
Cloud Computing Intern
Cognizant Technology Solutions • India
Jan 2022 – Jun 2022
- ▸Developed Azure-based ETL pipelines routing APIs to ADLS
- ▸Enhanced Synapse query performance by 30%
MSc in Artificial Intelligence and Machine Learning
University of Limerick • Ireland
Sept 2024 – Aug 2025
- ▸QCA: 3.58/4.00
- ▸Modules: AI, Deep Learning, Data Pipelines, Reinforcement Learning
BE in Electronics and Communication Engineering
St. Joseph's College of Engineering • Chennai, India
Aug 2018 – Jun 2022
- ▸GPA: 8.10/10
> Completed Quests
Major projects and achievements
Real-Time ECG Signal Prediction
Built real-time ECG anomaly detection using hybrid 1D-CNN + Transformer architecture with Kafka streaming and Spark inference.
Deep RL for Atari (Air Raid)
Built DQN agent in TensorFlow using CNNs, frame stacking, experience replay, and target networks.
GPU-Accelerated CUDA Programs
Developed CUDA kernels for 1D convolution, vector addition, and matrix multiplication. Achieved 3-5x acceleration over CPU.
Multithreaded Socket Server
Implemented multithreaded socket server using POSIX threads in C++ for concurrent client connections.
Data Engineering Projects
Collection of big data pipelines, ETL workflows, and streaming architectures using Kafka, Spark, and Airflow.
ML & Deep Learning Projects
Machine learning models, neural networks, and AI experiments showcasing PyTorch, TensorFlow, and CUDA implementations.
> Achievements Unlocked
Certifications and milestones
AWS Machine Learning Foundations
Completed AWS ML certification
AWS Cloud Foundations
Mastered AWS cloud fundamentals
Microsoft Azure Fundamentals
Azure platform certification
Pipeline Master
Reduced latency by 40% in production
Efficiency Expert
Saved 15+ hours weekly with automation
Performance Optimizer
Enhanced query performance by 30%
> Active Quests
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Contact Information
Current Status
Open to full-time roles in AI/ML, Data Engineering, and MLOps