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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0" />
<title>Devis Nishku</title>
<link rel="preconnect" href="https://fonts.googleapis.com" />
<link rel="preconnect" href="https://fonts.gstatic.com" crossorigin />
<link href="https://fonts.googleapis.com/css2?family=Lora:ital,wght@0,400;0,500;0,600;1,400&family=DM+Sans:wght@300;400;500&display=swap" rel="stylesheet" />
<style>
:root {
--bg: #fafaf8;
--surface: #ffffff;
--border: #e9e9e7;
--border-hover: #d0d0cd;
--text: #191919;
--text-secondary: #6b6b68;
--text-tertiary: #9b9b98;
--accent: #2f6fce;
--accent-soft: #eef3fc;
--tag-bg: #f1f1ef;
--tag-text: #484844;
--callout-bg: #f7f6f3;
--page-width: 680px;
}
*, *::before, *::after { box-sizing: border-box; margin: 0; padding: 0; }
html { font-size: 16px; scroll-behavior: smooth; }
body {
background: var(--bg);
color: var(--text);
font-family: 'DM Sans', sans-serif;
font-weight: 400;
line-height: 1.65;
-webkit-font-smoothing: antialiased;
}
/* ── PAGE LAYOUT ── */
.page {
max-width: var(--page-width);
margin: 0 auto;
padding: 48px 24px 96px;
opacity: 0;
animation: fadeUp 0.5s ease forwards;
}
@keyframes fadeUp {
from { opacity: 0; transform: translateY(12px); }
to { opacity: 1; transform: translateY(0); }
}
/* ── HEADER ── */
.page-icon {
font-size: 52px;
line-height: 1;
margin-bottom: 20px;
display: block;
animation: fadeUp 0.4s ease 0.05s both;
}
h1.name {
font-family: 'Lora', serif;
font-size: 2.6rem;
font-weight: 600;
letter-spacing: -0.02em;
line-height: 1.15;
color: var(--text);
margin-bottom: 10px;
animation: fadeUp 0.4s ease 0.1s both;
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.tagline {
font-size: 1.05rem;
font-weight: 300;
color: var(--text-secondary);
margin-bottom: 22px;
animation: fadeUp 0.4s ease 0.15s both;
}
.status-row {
display: flex;
flex-wrap: wrap;
gap: 8px;
margin-bottom: 32px;
animation: fadeUp 0.4s ease 0.2s both;
}
.badge {
display: inline-flex;
align-items: center;
gap: 6px;
font-size: 0.8rem;
font-weight: 500;
padding: 4px 10px;
border-radius: 4px;
border: 1px solid var(--border);
background: var(--surface);
color: var(--tag-text);
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.badge.open {
background: #edf7ee;
border-color: #b8e0bb;
color: #2d6e30;
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.badge .dot {
width: 6px; height: 6px;
border-radius: 50%;
background: #4caf50;
display: inline-block;
animation: pulse 2s infinite;
}
@keyframes pulse {
0%, 100% { opacity: 1; }
50% { opacity: 0.3; }
}
hr.divider {
border: none;
border-top: 1px solid var(--border);
margin: 28px 0;
animation: fadeUp 0.4s ease 0.25s both;
}
/* ── SECTIONS ── */
section {
margin-bottom: 36px;
animation: fadeUp 0.4s ease 0.3s both;
}
section + section { animation-delay: 0.35s; }
section + section + section { animation-delay: 0.4s; }
.section-label {
font-size: 0.72rem;
font-weight: 500;
letter-spacing: 0.08em;
text-transform: uppercase;
color: var(--text-tertiary);
margin-bottom: 14px;
}
/* ── CALLOUT ── */
.callout {
background: var(--callout-bg);
border-radius: 6px;
border: 1px solid var(--border);
padding: 14px 16px;
font-size: 0.92rem;
color: var(--text-secondary);
line-height: 1.7;
}
.callout strong { color: var(--text); font-weight: 500; }
/* ── LOOKING FOR TAGS ── */
.role-tags {
display: flex;
flex-wrap: wrap;
gap: 8px;
}
.role-tag {
font-size: 0.85rem;
font-weight: 500;
padding: 6px 13px;
border-radius: 5px;
background: var(--accent-soft);
color: var(--accent);
border: 1px solid #c9dcf7;
}
/* ── SKILL TAGS ── */
.skill-group { margin-bottom: 14px; }
.skill-group-label {
font-size: 0.78rem;
color: var(--text-tertiary);
margin-bottom: 7px;
}
.tags {
display: flex;
flex-wrap: wrap;
gap: 6px;
}
.tag {
font-size: 0.8rem;
padding: 3px 9px;
border-radius: 4px;
background: var(--tag-bg);
color: var(--tag-text);
border: 1px solid var(--border);
}
/* ── BLOCKS (education, projects) ── */
.block-list {
display: flex;
flex-direction: column;
gap: 10px;
}
.block {
background: var(--surface);
border: 1px solid var(--border);
border-radius: 7px;
padding: 14px 16px;
transition: border-color 0.15s, box-shadow 0.15s;
}
.block:hover {
border-color: var(--border-hover);
box-shadow: 0 2px 8px rgba(0,0,0,0.05);
}
.block-header {
display: flex;
justify-content: space-between;
align-items: flex-start;
gap: 12px;
}
.block-title {
font-family: 'Lora', serif;
font-size: 0.97rem;
font-weight: 500;
color: var(--text);
margin-bottom: 2px;
}
.block-sub {
font-size: 0.82rem;
color: var(--text-secondary);
}
.block-meta {
font-size: 0.78rem;
color: var(--text-tertiary);
white-space: nowrap;
flex-shrink: 0;
}
.block-desc {
font-size: 0.85rem;
color: var(--text-secondary);
margin-top: 8px;
line-height: 1.6;
}
.block-links {
display: flex;
flex-wrap: wrap;
gap: 8px;
margin-top: 10px;
}
.link-chip {
display: inline-flex;
align-items: center;
gap: 5px;
font-size: 0.78rem;
font-weight: 500;
color: var(--accent);
text-decoration: none;
padding: 3px 9px;
border-radius: 4px;
border: 1px solid #c9dcf7;
background: var(--accent-soft);
transition: background 0.12s;
}
.link-chip:hover { background: #dce9fa; }
/* ── CONTACT ── */
.contact-grid {
display: grid;
grid-template-columns: 1fr 1fr;
gap: 8px;
}
@media (max-width: 480px) {
.contact-grid { grid-template-columns: 1fr; }
}
.contact-item {
display: flex;
align-items: center;
gap: 10px;
padding: 11px 14px;
border-radius: 7px;
border: 1px solid var(--border);
background: var(--surface);
text-decoration: none;
color: var(--text);
font-size: 0.85rem;
transition: border-color 0.15s, box-shadow 0.15s;
}
.contact-item:hover {
border-color: var(--border-hover);
box-shadow: 0 2px 8px rgba(0,0,0,0.05);
}
.contact-icon { font-size: 1.1rem; flex-shrink: 0; }
.contact-label { font-weight: 500; display: block; line-height: 1.2; }
.contact-value { font-size: 0.76rem; color: var(--text-secondary); }
/* ── FOOTER ── */
footer {
margin-top: 60px;
padding-top: 20px;
border-top: 1px solid var(--border);
font-size: 0.78rem;
color: var(--text-tertiary);
display: flex;
justify-content: space-between;
flex-wrap: wrap;
gap: 6px;
}
</style>
</head>
<body>
<div class="page">
<!-- HEADER -->
<span class="page-icon">👨🏼🎓</span>
<h1 class="name">Devis Nishku</h1>
<p class="tagline">M.S. Computer Science & Engineering · Politecnico di Milano</p>
<div class="status-row">
<span class="badge open"><span class="dot"></span>Open to post-grad roles</span>
<span class="badge">📍 Milan, Italy</span>
<span class="badge">🎓 Expected Mar 2027</span>
</div>
<hr class="divider" />
<!-- ABOUT -->
<section>
<p class="section-label">About</p>
<div class="callout">
I'm a CS master's student at PoliMi, focused on NLP and LLMs, Streaming and Continual ML/DL and Edge AI.
</div>
</section>
<!-- LOOKING FOR -->
<!--
<section>
<p class="section-label">Looking for</p>
<div class="role-tags">
<span class="role-tag">AI Engineer</span>
<span class="role-tag">LLM Engineer</span>
<span class="role-tag">NLP Engineer</span>
<span class="role-tag">AI Researcher</span>
<span class="role-tag">LLM / NLP Researcher</span>
</div>
</section>-->
<hr class="divider" />
<!-- EDUCATION -->
<section>
<p class="section-label">Education</p>
<div class="block-list">
<div class="block">
<div class="block-header">
<div>
<div class="block-title">M.S. Computer Science and Engineering</div>
<div class="block-sub">Politecnico di Milano</div>
</div>
<div class="block-meta">Sep 2024 – Mar 2027</div>
<div class="block-meta">3.7/4.0 GPA</div>
</div>
<div class="block-desc">
Specialisation in AI/ML. Core coursework: Neural Networks and Deep Learning, Natural Language Processing and Streaming Data Science.
</div>
</div>
<div class="block">
<div class="block-header">
<div>
<div class="block-title">B.S. Engineering of Computing Systems</div>
<div class="block-sub">Politecnico di Milano</div>
</div>
<div class="block-meta">Sep 2020 – Mar 2024</div>
<div class="block-meta">3.3/4.0 GPA</div>
</div>
<div class="block-desc">
Core coursework: Algorithms and Data Structures, Software Engineering, Web Information Technologies and Databases.
</div>
</div>
</div>
</section>
<!-- PROJECTS -->
<section>
<p class="section-label">Projects</p>
<div class="block-list">
<div class="block">
<div class="block-header">
<div>
<div class="block-title">RewAIre — Observe Engine</div>
<div class="block-sub">PoliMi Capstone with AI71 · LLMs · Agentic AI · Python</div>
</div>
<div class="block-meta">Jun 2026 – Sep 2026</div>
</div>
<div class="block-desc">
Observe layer of an AI workflow-transformation platform: LLM-based ingestion of interview transcripts, emails, policy documents and system logs, reconciled into a canonical as-is workflow graph with typed edges and per-node provenance. Detects "say-vs-do" mismatches between stated and actual processes via evidence triangulation.
</div>
</div>
<div class="block">
<div class="block-header">
<div>
<div class="block-title">PoliMillionaire QA Agent</div>
<div class="block-sub">NLP · LLMs · RAG · Qwen2.5-7B · Quantization</div>
</div>
<div class="block-meta">Jun 2026</div>
</div>
<div class="block-desc">
Autonomous agent playing a "Who Wants to Be a Millionaire"-style quiz under strict constraints: 30s per answer, Colab T4 memory budget, no paid APIs. Built on open-source Qwen2.5-7B-Instruct with quantization and prompt engineering; designed the web-search-based RAG pipeline for highly specific, non-general-knowledge questions.
</div>
</div>
<div class="block">
<div class="block-header">
<div>
<div class="block-title">Continuous LSTM & cPNN in CapyMOA</div>
<div class="block-sub">Streaming Continual Learning · PyTorch · CapyMOA · cLSTM · cPNN</div>
</div>
<div class="block-meta">Apr 2026 – May 2026</div>
</div>
<div class="block-desc">
Native integration of Continuous LSTM (cLSTM) and continuous Progressive Neural Networks (cPNN) as classifiers inside the CapyMOA streaming framework. Anytime inference with sliding windows and dynamic column expansion for concept drift.
</div>
<div class="block-links">
<a class="link-chip" href="https://github.com/Streaming-Data-Analytics/2025-2026_7-cLSTM-cPNN-CapyMOA" target="_blank">↗ GitHub</a>
</div>
</div>
<div class="block">
<div class="block-header">
<div>
<div class="block-title">Global Shark Attacks — Data Quality Pipeline</div>
<div class="block-sub">Data Engineering · Python · Pandas · NumPy · ydata-profiling </div>
</div>
<div class="block-meta">Dec 2025 - Jan 2026</div>
</div>
<div class="block-desc">
End-to-end data cleaning, quality assessment and enrichment pipeline on a real-world messy dataset. Fuzzy record linkage, schema validation and quality scoring across 6,000+ records.
</div>
<div class="block-links">
<a class="link-chip" href="https://github.com/devisnsk/shark-attacks-data-preparation-pipeline" target="_blank">↗ GitHub</a>
</div>
</div>
<div class="block">
<div class="block-header">
<div>
<div class="block-title">Histopathology Image Classification — Kaggle Competition</div>
<div class="block-sub">Computer Vision · Transfer Learning · PyTorch</div>
</div>
<div class="block-meta">Dec 2025</div>
</div>
<div class="block-desc">
Breast cancer tissue classification using fine-tuned EfficientNet, ResNet, and Vision Transformer (ViT). Applied Grad-CAM for model interpretability.
</div>
<div class="block-links">
<a class="link-chip" href="https://github.com/devisnsk/lorem-ipsum" target="_blank">↗ GitHub</a>
</div>
</div>
<div class="block">
<div class="block-header">
<div>
<div class="block-title">Time Series Classification — Kaggle Competition</div>
<div class="block-sub">Deep Learning · PyTorch</div>
</div>
<div class="block-meta">Nov 2025</div>
</div>
<div class="block-desc">
Multivariate time-series classification using LSTM, GRU, and hybrid architectures. Explored attention mechanisms and temporal convolutions for sequence modelling.
</div>
<div class="block-links">
<a class="link-chip" href="https://github.com/devisnsk/an2dl-c1-2025" target="_blank">↗ GitHub</a>
</div>
</div>
</div>
</section>
<!-- EXPERIENCE -->
<section>
<p class="section-label">Experience</p>
<div class="block-list">
<div class="block">
<div class="block-header">
<div>
<div class="block-title">Software Engineer Intern</div>
<div class="block-sub">Sensei Srl, Milan</div>
</div>
<div class="block-meta">Nov 2023 – May 2024</div>
</div>
<div class="block-desc">
Built applicant tracking system backend with Java Spring Boot, Apache Lucene, and PostgreSQL. Focused on full-text search and CV processing workflows.
</div>
</div>
</div>
</section>
<!-- SKILLS -->
<section>
<p class="section-label">Skills</p>
<div class="skill-group">
<div class="skill-group-label">AI / ML</div>
<div class="tags">
<span class="tag">PyTorch</span>
<span class="tag">TensorFlow</span>
<span class="tag">LLMs</span>
<span class="tag">RAG</span>
<span class="tag">NLP</span>
<span class="tag">scikit-learn</span>
<span class="tag">LangChain</span>
<span class="tag">HuggingFace</span>
</div>
</div>
<div class="skill-group">
<div class="skill-group-label">Backend, Data & More</div>
<div class="tags">
<span class="tag">Python</span>
<span class="tag">FastAPI</span>
<span class="tag">Java</span>
<span class="tag">Spring</span>
<span class="tag">PostgreSQL</span>
<span class="tag">Apache Kafka</span>
<span class="tag">ElasticSearch</span>
<span class="tag">Vector DBs</span>
<span class="tag">Docker</span>
<span class="tag">Git</span>
</div>
</div>
</section>
<hr class="divider" />
<!-- CONTACT -->
<section>
<p class="section-label">Get in touch</p>
<div class="contact-grid">
<a class="contact-item" href="mailto:devisnishku1@gmail.com">
<span class="contact-icon">✉️</span>
<div>
<span class="contact-label">Email</span>
<span class="contact-value">devisnishku1@gmail.com</span>
</div>
</a>
<a class="contact-item" href="https://linkedin.com/in/devisnishku" target="_blank">
<span class="contact-icon">🔗</span>
<div>
<span class="contact-label">LinkedIn</span>
<span class="contact-value">linkedin.com/in/devisnishku</span>
</div>
</a>
<a class="contact-item" href="https://github.com/devisnsk" target="_blank">
<span class="contact-icon">💻</span>
<div>
<span class="contact-label">GitHub</span>
<span class="contact-value">github.com/devisnsk</span>
</div>
</a>
</div>
</section>
</div>
</body>
</html>