Final-year CS student graduating September 2026, seeking entry-level roles in Backend Engineering, Full-Stack Development, or AI/Data Engineering.
📍 Preferred: Bengaluru · Hyderabad · Remote (India)
📬 saiashok103@gmail.com · +91 6301955884
I build systems end-to-end — from kernel-level firewalls running on Alpine Linux to React/Next.js frontends and FastAPI microservices. My internship at DRDO CABS had me deploying a production Wazuh SIEM stack, designing iptables/ipset firewall gateways, and shipping a D3.js management dashboard used by security teams.
I'm drawn to backend-heavy, data-intensive problems and am actively exploring AI/agentic engineering as my next frontier.
| Domain | Tools |
|---|---|
| Languages | Python, Java, JavaScript, TypeScript, SQL |
| Frontend | React, Angular, Next.js, Redux, D3.js, Tailwind CSS, HTML5, CSS |
| Backend & APIs | FastAPI, Django, Node.js, REST APIs, Microservices, JWT, OAuth |
| Databases | MySQL, PostgreSQL, MongoDB, Redis, BigQuery, Delta Tables |
| DevOps & Cloud | Docker, Git, CI/CD, Kafka, Azure, Google Cloud, Linux, Alpine Linux, iptables, ipset |
| Security | Wazuh SIEM, OpenSearch, MaxMind GeoLite2, GeoIP filtering |
| Data & ML | Apache Spark, PySpark, Delta Lake, Scikit-learn, Power BI, Tableau |
Centre for Airborne Systems, Bengaluru
- Deployed a 3-container Wazuh SIEM stack (Wazuh Manager, OpenSearch, Dashboard) via Docker, enabling real-time threat categorization and improving security event visibility by 60%
- Implemented a virtualized firewall gateway on Alpine Linux using iptables + ipset with GeoIP-based country blocking (MaxMind GeoLite2), cutting firewall rule count by ~85% through kernel-level hash sets
- Built a full-stack management dashboard (FastAPI + D3.js) for real-time firewall rule management and SIEM monitoring — reducing manual admin effort by 90% and rule deployment time by 70%
Bangalore, Karnataka
- Architected client-facing UI using React + JavaScript, improving component reusability and application stability
- Built responsive, state-driven carousel components with React hooks — boosted user engagement by 20%
- Delivered end-to-end frontend features from client requirements, accelerating feature completion by 25%
Mobile app with AI-generated recipes. Optimized Gemini API calls for 30% faster generation; MongoDB backend with 35% improved query speed for nutritional data storage.
Logistic Regression model achieving 92% accuracy on clinical data. Full preprocessing pipeline: feature engineering, normalization, missing value imputation, and feature selection.
Medallion Architecture pipeline (Bronze → Silver → Gold) with ACID-compliant Delta Lake tables, schema enforcement, time travel, and Spark SQL optimizations via partitioning and caching.
B.Tech — Computer Science and Engineering
Bangalore Institute of Technology · 2022 – Sep 2026
Hiring or know someone who is? Let's connect — saiashok103@gmail.com