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🌟 About Me – Rishi Sharma
 Government Official - Zila Suchna Vigyan Adhikari(DIO) @Collectorate Seoni, Madhya Pradesh
🚀NIC Scientist-B | Ex - Scientist-B @ NIELIT | Ex-Palo Alto Networks | Ex-CISCO | Google Research India AI Summer School Participant
🎯 Top Ranks in Competitive Exams | Mentoring thousands of GATE Aspirants for free
🌟Have 1:1 with me
🏆 Achievements & Exam Ranks:
🏅AIR-8 GATE CSE (2025)
🏅 NIC Scientist-B (2025)
🏅AIR-2 BIS Scientist-B (2025)
🏅 AIR-1 – NIELIT Scientist-B (2024)
🏅 AIR-1 – BARC (2024)
🏅 AIR-2 – NIC (2025)
🏅 SBI SO Qualified (2024)
📌 AIR-1.5k – JEE-MAINS (2017)
📌 AIR-3k – JEE-ADVANCED (2017)
🎯 Offers from: Palo Alto Networks, Google, Amazon, Oracle, Nykaa

💼 Work Experience

🚀 Scientist-B @ NIELIT (Dec 2024 - Present)
- Currently working as a Group A, Class I, Level-10 Officer(Scientist-B) @ NIELIT, contributing to government projects
in cybersecurity, AI, and digital governance.

💻 Software Engineer @ Palo Alto Networks (Jul 2022 - Dec 2024)
- Developed web applications using Python & Flask for firewall rule management.
- Built a PR categorization microservice, classifying PRs as Restrictive, Permissive, or Mixed.
- Worked on cloud platforms like GCP & BigQuery for large-scale data handling.
- Utilized OOP principles to design reusable and efficient software components.

🔍 Software Engineer @ CISCO(Aug 2021 - Jul 2022)
- Designed & developed QRM microservice for intelligent call routing via Kafka.
- Ensured high code quality through reviews & optimizations.
- Used PostgreSQL, Scala, Kafka, and Docker for backend development.

🛠 Software Engineer Intern @ CISCO (May 2020 - Jun 2020)
- Built network traffic monitoring tools.
- Worked on data analytics and cloud automation.
- Designed a pipeline for automated anomaly detection in large-scale time-series data.
- Applied machine learning models to detect unusual patterns in Cisco Webex server logs.

🤖 Machine Learning Intern @ IISc Bangalore (May 2019 - Jul 2019)
- Researched anomaly detection in large-scale data systems.
- Applied machine learning techniques to optimize performance.
- Developed a Django-based web portal that searches for criminal images using AI-based facial recognition.

🎓 Education
- B.Tech in Computer Science & Engineering – NIT Karnataka, Surathkal (2017-2021)
- 11th-12th from Adasrsh Malwa Higher Secondary School - Shajapur, Madhya Pradesh(MP Board, 2015-2016)
- L.K.G.-10th M.G. Convent Higher Secondary School(ICSE, 2004-2014)
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