My Technical
Capabilities
AI & Data Science
Full-Stack & Databases
DevOps Infrastructure
DevSecOps & Cyber
01
Flagship Focus
Data Science & AI/ML
LangGraph
Generative AI
Python
R Language
MATLAB
TensorFlow / Keras
PyTorch
Scikit-Learn
Pandas
NumPy
XGBoost / Random Forest
NLP & Text Analysis
Plotly / Seaborn
Probability & Stats
yfinance
Jupyter / Colab
- Built multi-agent LangGraph pipelines — stateful graph loops handling execution parsing and structured GenAI LLM data validation.
- Engineered mathematical predictive algorithms leveraging MATLAB, PyTorch, and Scikit-Learn for specialized pattern training and extraction.
- Executed complex data manipulation, analytics, and probability modeling workflows on financial time-series with yfinance, Pandas, and Plotly.
02
Application Architecture
Full-Stack Engineering & Databases
React.js
TypeScript
JavaScript (ES6+)
FastAPI
Django
Node.js / Express
Electron
PostgreSQL
MongoDB
MySQL / SQL
Firebase
GraphQL
Tailwind CSS
Bootstrap / MUI
Streamlit
Vercel
Postman
Figma
- Developed decoupled client-server systems using React, TypeScript, Tailwind, and Material UI to match design constraints modeled in Figma.
- Built custom internal tool interfaces utilizing FastAPI, Django, and Node.js alongside structured GraphQL data backplanes.
- Constructed robust architectures managing PostgreSQL relational schemas, MongoDB documents, and MySQL querying optimization tasks under heavy data reads.
03
Systems Automation
DevOps & Cloud Infrastructure
Docker / Compose
Kubernetes
Terraform
GitHub CI/CD
AWS Core Services
Google Cloud (GCP)
Linux OS
Bash / Shell
Git Workflows
Jira Tracking
- Containerized multi-tier server clusters with Docker Compose and maintained automated image generation layers via GitHub CI/CD.
- Provisioned declarative, repeatable environments in GCP and AWS Core Infrastructure using Terraform Infrastructure as Code (IaC).
- Managed configuration states, deployment pipelines, and internal team sprint milestones efficiently using secure Git and Jira workflows.
04
Platform Protection
DevSecOps & Cybersecurity
GitLab CI/CD
Cloud Security
Vulnerability Mgmt
Encryption Fundamentals
Data Protection
Computer Networking
Web App Security
SSL/TLS / Regex
Risk Analysis
- Engineered secure continuous delivery pathways utilizing GitLab CI configurations to automate system checks across development pipelines.
- Analyzed logging mechanics, network traffic flows, and risk patterns inside defensive Tata and Deloitte Cybersecurity Simulation environments.
- Applied key defensive policies (including WHOIS scouting, Regex pattern filtering, and SSL/TLS validation) aligned with Coursera Security Risk Management foundations.