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<span>Engineering Analyst • Trust & Safety • Ads Integrity</span>
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<h1 class="headline">
Systems, analytics, and <span class="gradientText">abuse detection</span> — built with precision.
</h1>
<p class="subhead">
I architect data-driven workflows for detecting and mitigating invalid traffic & AdSpam, translate policy into
technical specs, and improve operational reliability at enterprise scale.
</p>
<div class="heroMeta">
<div class="metaCard glass">
<div class="metaLabel">Location</div>
<div class="metaValue">Austin, TX</div>
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<div class="metaCard glass">
<div class="metaLabel">Now</div>
<div class="metaValue">Google • Ads Integrity</div>
</div>
<div class="metaCard glass">
<div class="metaLabel">Focus</div>
<div class="metaValue">Systems • SQL • Python</div>
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<span>Explore work</span>
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<span>Let’s talk</span>
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<div class="signalRow">
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<div class="signalTitle">Core strengths</div>
<div class="chips">
<span class="chip">System design</span>
<span class="chip">Operational analytics</span>
<span class="chip">Abuse / policy translation</span>
<span class="chip">Documentation & SOPs</span>
<span class="chip">Production support</span>
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<div class="statNum"><span data-count="1000000">1,000,000</span>+</div>
<div class="statLabel">Data points processed</div>
</div>
<div class="stat glass">
<div class="statNum"><span data-count="25">25</span>%</div>
<div class="statLabel">Accuracy uplift (EV model)</div>
</div>
<div class="stat glass">
<div class="statNum"><span data-count="40">40</span>%</div>
<div class="statLabel">Defects reduced</div>
</div>
<div class="stat glass">
<div class="statNum"><span data-count="2.3">2.3</span>×</div>
<div class="statLabel">Evaluation throughput</div>
</div>
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<div class="miniTerminal">
<div class="termTop">
<span class="tDot red"></span><span class="tDot yellow"></span><span class="tDot green"></span>
<span class="termTitle">ads-integrity / insight</span>
</div>
<pre class="termBody" aria-label="Decorative terminal">
<span class="muted">$</span> run trust_safety.audit --scope=ads --signal=ivt
<span class="muted">→</span> detect: rules_engine ✓ scoring ✓ alerting ✓
<span class="muted">→</span> metrics: precision ↑ latency ↓ coverage ↑
<span class="muted">→</span> output: hardened workflows + clear SOPs
</pre>
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<h2>Work</h2>
<p>High-impact roles across Ads Integrity, teaching, and applied ML.</p>
</div>
<div class="cards">
<article class="card glass reveal">
<div class="cardTop">
<div>
<h3>Google</h3>
<div class="role">Engineering Analyst (Computer Systems Analyst) • Jan 2026 – Present • Austin, TX</div>
</div>
<span class="badge">Trust & Safety</span>
</div>
<ul class="bullets">
<li>Architected enterprise-scale systems to detect and mitigate invalid traffic & AdSpam, improving reliability and reducing advertiser risk.</li>
<li>Designed and continuously tuned workflows (rules engines, alerting logic, scoring frameworks, integrations) to improve detection accuracy and performance.</li>
<li>Translated ambiguous abuse + policy requirements into functional/technical specs and guided implementation, integration testing, and phased rollouts.</li>
<li>Led operational metric analyses (SQL + internal reporting) to remove bottlenecks, increase analyst throughput, and reduce incident resolution time.</li>
<li>Owned SOPs, documentation, and incident-response workflows, aligning stakeholders across Product, Sales, Legal, and compliance needs.</li>
<li>Provided production support and on-call coverage; led RCA for critical incidents and drove durable remediations.</li>
</ul>
</article>
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<div>
<h3>Johns Hopkins University</h3>
<div class="role">Teaching Assistant (Part-time) • Jan 2024 – Dec 2025 • Baltimore, MD & Newark, NJ</div>
</div>
<span class="badge">Academia</span>
</div>
<ul class="bullets">
<li>TA for 10+ graduate courses including Statistical Analysis, ERM, Python Programming, Algorithms, Software Project Management, and more.</li>
<li>Led discussion support, grading, rubrics, and structured feedback across quantitative, programming, and business analytics coursework.</li>
<li>Mentored graduate students in analytics, risk, finance, marketing strategy, software development, and algorithmic problem-solving.</li>
</ul>
</article>
<article class="card glass reveal">
<div class="cardTop">
<div>
<h3>Taboola</h3>
<div class="role">QA Tester (Data Science/Engineering) • Sep 2025 – Jan 2026 • New York, NY</div>
</div>
<span class="badge">ML Quality</span>
</div>
<ul class="bullets">
<li>Built automated data validation pipelines (Python, SQL) for anomaly detection across 10,000+ publisher outputs; reduced critical defects by 40%.</li>
<li>Developed forecasting models and KPI dashboards (Power BI, Python, SQL), cutting UAT ambiguity by 35% and improving decision latency ~40%.</li>
<li>Improved defect classification via feature engineering + clustering on Jira/Confluence logs; reduced issue resolution from 5 days to 2 days.</li>
<li>Used A/B testing, regression, and hypothesis testing to identify adoption drivers; increased publisher adoption by 25% and boosted retention.</li>
</ul>
</article>
<article class="card glass reveal">
<div class="cardTop">
<div>
<h3>Mercedes-Benz R&D India</h3>
<div class="role">Graduate Engineer Trainee (Data Scientist) • Aug 2022 – Jun 2023 • Bangalore</div>
</div>
<span class="badge">Applied ML</span>
</div>
<ul class="bullets">
<li>Deployed an AI battery degradation prediction model (1M+ data points), improving forecasting accuracy by 25% and impacting ~$2M warranty claims.</li>
<li>Monitored EV performance metrics and detected critical anomalies with 92% accuracy, decreasing emergency service calls by 25%.</li>
<li>Refined algorithm performance to improve charge-cycle efficiency by 30% and extend fleet battery life.</li>
<li>Led cross-functional collaboration (8 members) and improved dashboard engagement by 30% via stronger visualization design.</li>
<li>Reduced false maintenance alerts by 75%, saving 1,000+ service hours and increasing operational efficiency by 20%.</li>
</ul>
</article>
<article class="card glass reveal">
<div class="cardTop">
<div>
<h3>Community Dreams Foundation</h3>
<div class="role">Project/Product Manager (Volunteer) • Jan 2025 – Oct 2025 • Remote</div>
</div>
<span class="badge">Social Impact</span>
</div>
<ul class="bullets">
<li>Planned and delivered sustainability projects supporting equitable and resilient green communities.</li>
<li>Aligned stakeholders to define goals, prioritize initiatives, and coordinate timelines across volunteers.</li>
<li>Managed documentation, handover, and accountability with consistent professionalism and integrity.</li>
</ul>
</article>
</div>
</section>
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<h2>Impact</h2>
<p>Fast signal of outcomes, built from your work highlights.</p>
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<div class="impactGrid">
<div class="impactCard glass reveal">
<div class="impactIcon" aria-hidden="true">⚡</div>
<div class="impactTitle">Quality at scale</div>
<div class="impactText">Reduced critical defects by <strong>40%</strong> and accelerated rollout timelines by <strong>3 weeks</strong>.</div>
</div>
<div class="impactCard glass reveal">
<div class="impactIcon" aria-hidden="true">📈</div>
<div class="impactTitle">Throughput & speed</div>
<div class="impactText">Improved evaluation throughput by <strong>2.3×</strong> and cut average issue resolution from <strong>5 → 2 days</strong>.</div>
</div>
<div class="impactCard glass reveal">
<div class="impactIcon" aria-hidden="true">🧠</div>
<div class="impactTitle">Applied ML outcomes</div>
<div class="impactText">Delivered <strong>25%</strong> accuracy uplift on EV forecasting and achieved <strong>92%</strong> anomaly detection accuracy.</div>
</div>
<div class="impactCard glass reveal">
<div class="impactIcon" aria-hidden="true">🛡️</div>
<div class="impactTitle">Integrity systems</div>
<div class="impactText">Designed detection workflows and SOPs that strengthen reliability, compliance alignment, and incident response readiness.</div>
</div>
</div>
</section>
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<h2>Skills</h2>
<p>A focused, readable view of your toolset.</p>
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<div class="skillGrid">
<div class="skillCard glass reveal">
<h3>Core</h3>
<div class="chips">
<span class="chip">Python</span><span class="chip">SQL</span><span class="chip">System Design</span>
<span class="chip">Abuse Detection</span><span class="chip">Process Automation</span><span class="chip">Troubleshooting</span>
<span class="chip">Production Support</span><span class="chip">Documentation</span><span class="chip">SLAs</span>
</div>
</div>
<div class="skillCard glass reveal">
<h3>Data & ML</h3>
<div class="chips">
<span class="chip">NumPy</span><span class="chip">Pandas</span><span class="chip">scikit-learn</span>
<span class="chip">Keras</span><span class="chip">XGBoost</span><span class="chip">Statsmodels</span>
<span class="chip">NLP (spaCy / NLTK)</span><span class="chip">Hugging Face</span><span class="chip">A/B Testing</span>
</div>
</div>
<div class="skillCard glass reveal">
<h3>Cloud & Platforms</h3>
<div class="chips">
<span class="chip">AWS</span><span class="chip">Google Cloud</span><span class="chip">Azure ML</span>
<span class="chip">Databricks</span><span class="chip">Snowflake</span><span class="chip">BigQuery</span>
<span class="chip">Hadoop / Hive</span><span class="chip">Redshift</span>
</div>
</div>
<div class="skillCard glass reveal">
<h3>Engineering</h3>
<div class="chips">
<span class="chip">Java</span><span class="chip">C++</span><span class="chip">Scala</span><span class="chip">NoSQL</span>
<span class="chip">REST APIs</span><span class="chip">Flask</span><span class="chip">FastAPI</span>
<span class="chip">GitHub</span><span class="chip">GitLab</span><span class="chip">Power BI</span>
</div>
</div>
</div>
</section>
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<div class="sectionHead reveal">
<h2>Education</h2>
<p>Academic foundation with engineering + management depth.</p>
</div>
<div class="timeline">
<div class="tItem glass reveal">
<div class="tWhen">Aug 2023 – Dec 2024</div>
<div class="tWhat">
<h3>Johns Hopkins University</h3>
<div class="tRole">M.S. in Engineering Management • Baltimore, MD</div>
<div class="tSmall">Coursework: AI, Cloud Computing, Agile, Product Management, HCI, Managing People & Conflicts, and more.</div>
</div>
</div>
<div class="tItem glass reveal">
<div class="tWhen">Jul 2018 – Aug 2022</div>
<div class="tWhat">
<h3>BMS College of Engineering</h3>
<div class="tRole">B.E. in Computer Science and Engineering • Bangalore, India</div>
<div class="tSmall">Leadership: Vice President & Head of R&D (CS Dept). Coursework: ML, Big Data, Cryptography, Algorithms, DBMS, and more.</div>
</div>
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<h2>Publication</h2>
<p>Research and writing.</p>
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<div class="pubTitle">A Survey and High Level Design on Human Activity Recognition</div>
<div class="pubMeta">International Journal of Science and Research</div>
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<h2>Contact</h2>
<p>Open to collaboration, systems design discussions, and impact-focused work.</p>
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<h3>Reach me</h3>
<div class="contactLine"><span class="label">Email</span> <a href="mailto:abhishikatsoni@gmail.com">abhishikatsoni@gmail.com</a></div>
<div class="contactLine"><span class="label">Phone</span> <a href="tel:+16676579129">+1 (667) 657-9129</a></div>
<div class="contactLine"><span class="label">LinkedIn</span> <a href="https://www.linkedin.com/in/abhishikat" target="_blank" rel="noreferrer">linkedin.com/in/abhishikat</a></div>
<div class="contactLine"><span class="label">Location</span> Austin, TX</div>
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<h3>One-line bio</h3>
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Engineering Analyst in Trust & Safety / Ads Integrity — building reliable, data-driven detection systems and operational workflows.
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