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IDENTITY_VERIFIEDAI Engineer | Data Science
Scalable Infrastructure

I specialize in bridging the gap between theoretical AI and high-performance reality. My work focuses on optimizing the computational engines that power intelligent systems, ensuring they are not just accurate, but dangerously efficient.

I am dedicated to solving complex data challenges by designing systems that are built to scale and engineered to last.

OPEN TO WORK
BASED IN INDIA
AI SYSTEMS ARCHITECT
Currently Studying At

Amrita Vishwa Vidyapeetham

Academic Performance

CGPA: 8.59

Portfolio Depth

10+ Industrial Projects

Technical Niche

AI Systems Architect

01. TECHNICAL ARSENAL

Languages

PythonC++JavaSQLNoSQLMatlabScalaShell Scripting

AI & Data Science

PyTorchScikit-learnSparkLangChainLangGraph

Cloud Platforms

AWS (VPC, EC2, S3, Lambda)Azure (Data Factory, Databricks, Data Lake)

Developer Tools

GitVS CodePower BIn8n

02. SYSTEMS & ARCHITECTURE

Hydrogen Storage LLM

Advanced RAG pipeline utilizing Large Language Models to optimize hydrogen storage material retrieval and analysis.

Querying Vector Database...
LangChainVector DBLLaMA 3

Predictive Defense

AI-driven cybersecurity framework utilizing Graph Neural Networks (GNNs) for 99.34% accurate DDoS attribution.

SYSTEM STATUS
OPTIMAL
Traffic Anomaly0.02%
PyTorchGNNCybersec

Azure Data Engineering

Enterprise-grade ETL pipeline orchestrating data ingestion, transformation, and analytics on Azure infrastructure.

PIPELINE ACTIVE
AzureData FactoryDatabricks

Distributed Search Engine

High-performance distributed search engine leveraging parallel processing and MPI to query massive academic datasets.

CLUSTER PROCESSING
MPIParallel ComputingPython

Skin Lesion Classification

Deep Learning system using Convolutional Neural Networks (CNNs) for precise dermatological diagnosis and segmentation.

ANALYZING SCANS...
CNNDeep LearningMedical AI

Q-Learning Maze Solver

Autonomous reinforcement learning agent implementing Q-Learning algorithms for optimal pathfinding in complex environments.

PATHFINDING: OPTIMAL
RLQ-LearningAI

AWS Infrastructure

Collection of cloud-native infrastructure implementations showcasing scalable architecture patterns and serverless solutions.

SCALABLE STACK
AWSCloud ArchitectureServerless

03. EXPERIENCE

Apr 2025 – May 2025

AI Intern

Microsoft AICTE Edunet Foundation
  • Architected scalable end-to-end Azure data pipelines using PySpark and Delta Lake, optimizing ETL workflows and query performance for enterprise data governance.
May 2025 – Jun 2025

Full Stack Developer Intern

Tikaj Technologies
  • Spearheaded a new product launch and enhanced platform stability by architecting robust backend integrations and resolving critical frontend bottlenecks.