PERSONNEL FILE01 / 02
SUBJECT // VISUAL IDENTIFICATION

SUBJECT

SUYASHJAIN

CLASSIFIED
Subject:JAIN, SuyashCodename:PHANTOM-7
Status:ACTIVEClassification:TS/SCI
DOB:██/██/2005Nationality:Indian
Location:████████, TN, IndiaAffiliation:SRM Institute of Science and Technology
Role:CS Undergraduate (Y3) / Network Security SpecialistContact:hi@suyashja.in

Credentials

AUG 2023 — MAY 2027 // TAMIL NADU, INDIA
B.Tech Computer Science

SRM Institute of Science and Technology — CGPA 7.83

  • AWS Solutions Architect – Associate APR 2026 — APR 2029 [VERIFY]
  • SAP Back-End Developer — ABAP Cloud MAR 2026 — MAR 2027 [VERIFY]
  • Cisco AI Technical Practitioner MAR 2026 [VERIFY]
FIELD REPORT // OPERATIONAL RECORD02 / 02

I. Summary

Data engineer, final-year CS undergraduate. Shipped ETL pipelines in production at a venture-backed startup, and builds network systems that observe and steer their own traffic. Current focus is where those meet: kernel-level telemetry feeding machine learning that makes routing decisions on live networks.

Working method: verify by direct observation. Packet captures, container logs and CLI output before documentation. Everything below has a source link or a verifiable badge — read the code rather than this summary.

II. Operational History

MAR 2025 — MAY 2025 // SAN FRANCISCO, REMOTE
Data Engineer Intern — Taiyo.ai
  • Built and deployed ETL pipelines in Python, Pandas and Elasticsearch, loading structured and semi-structured data from project listings and API sources.
  • Rebuilt existing pipelines for modularity and lower latency, adding error-handling that kept delivery consistent when upstream sources failed.
  • Wrote scrapers in BeautifulSoup using rotating user agents, dynamic session management and retry logic to survive blocking.
  • Scheduled the whole thing as containerised workflows on Docker and Kubernetes CronJobs, running unattended in production.

III. Field Operations

JAN 2026
ML-Driven Adaptive Traffic Management in SDN [SOURCE]
  • Software-defined network on Mininet, Open vSwitch and Faucet that enforces QoS dynamically across multi-path enterprise topologies.
  • Kernel-level deep packet inspection via custom eBPF programs, extracting TLS SNI headers at wire speed with no user-space copy.
  • Random Forest classifier at 98% accuracy over eBPF telemetry and Scapy flow features, categorising live traffic without manual rules.
  • Python policy orchestrator that bypasses static routing — issues ovs-ofctl to reconfigure HTB queues and reroutes mission-critical packets on predicted congestion, before it degrades throughput.
Stack: eBPF, Mininet, Open vSwitch, Faucet, OpenFlow, Scapy, scikit-learn, Python
JUN 2025 // 1ST PRIZE — POLKADOT ASSETHUB HACKATHON
  • Backend on Convex handling real-time battle state and NFT synchronisation across multiple chains.
  • Solidity contracts for turn-based NFT combat on PolkaVM — damage calculation and battle state on-chain.
  • Integration layer binding Polkadot AssetHub NFT ownership to Ethereum-compatible contracts through ethers.js.
Stack: Next.js, TypeScript, Convex, Solidity, Polkadot API, Ethers.js, PolkaVM

IV. Technical Capabilities

Networking & Infrastructure

  • • eBPF, OpenFlow, QoS
  • • Mininet, Open vSwitch, Faucet
  • • Scapy, Wireshark, TCP/IP
  • • CCNA (in progress)

Data Engineering

  • • ETL pipelines — Python, Pandas
  • • Elasticsearch, web scraping
  • • Docker, Kubernetes CronJobs

Languages

  • • Python, C/C++, Java
  • • TypeScript, SQL
  • • Solidity, Bash

Data Stores

  • • PostgreSQL, MongoDB, Redis
  • • Elasticsearch
  • • Cloudflare R2

Tools & DevOps

  • • Git, Docker, Kubernetes
  • • HTTP Toolkit, Postman
  • • Cloudflare Workers

Systems

  • • Debian, Arch Linux
  • • Windows

V. Competitive Record

  • Polkadot Assethub Hackathon 2025 — 1st place, $1,500. Cleared the online round; organised by Edgetributor SubDAO and MontaQ Labs.
  • HackathonX CTF 2024 — 1st of 150 teams, National Cyber Security Research Council at IIT Madras. Network exploitation, packet analysis, system vulnerabilities.
  • Fetch.ai Hackfest, Dec 2023 — reached the final round at IIT Bombay.

VI. Current Objective

Seeking: Data Engineering / Platform
Available: JUN 2027

Open to data engineering, platform and network infrastructure roles — on-site in India or remote. Graduating May 2027. Reachable at the addresses below; source code for everything above is linked inline.

Email:
hi@suyashja.in
LinkedIn:
jsuyash05
GitHub:
j-suyash
X/Twitter:
@jsyshbin
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