Archit Sengupta

Experience

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  ITC Infotech

  May 2018 - Jul 2018

  Security Operations Analyst Intern

  • Monitored network traffic in the SOC team to identify suspicious activity.• Documented and gathered threat intelligence to enhance cybersecurity measures.• Supported the management of firewalls, IDS/IPS systems, proxy, and VPN services, learning about a multi-layer security setup

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  Manipal Information Security Team

  Sept 2018 - Aug 2020

  Board Member

  Society dealing with Cybersecurity. Organized and conducted workshops and setup on-site CTFs teaching students about the field.

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  Smartbridge

  May 2020 - Jun 2020

  Machine Learning Intern

  • Implemented machine learning models to predict life cycle expectancy using data provided by the WHO.• Reduced dimensionality of data using kernel PCA for efficient analysis.• Evaluated and compared decision tree, random forests, and neural networks for predictive accuracy.• Leveraged IBM Cloud and Watson for data management and further evaluation.

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  ICICI Lombard General Insurance Company Limited

  Mar 2021 - Aug 2024

  • Developed and maintained a website for automobile insurance policy booking, serving 25,000 monthly users and 100+ dealerships.•Established a rule engine with improved formulae for premium calculation, reducing policy generation time by 80%.• Managed communications with new OEM partners, conducting requirement analysis and building systems for data integration.

  • Associate Software Engineer

    Aug 2021 - Aug 2024

  • SDE Intern

    Mar 2021 - Aug 2021
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  Kadmik

  Nov 2021 - Jul 2024

  Backend Developer

  - Worked in the founding team of 4 developers. Drove feature additions leading to exponential user growth 800,000+ downloads till date. - Built the system architecture, APIs and game engine from the ground up using Nginx, FastAPI, PostgreSQL, WebSockets, Redis.- Organised services, workers and deployments on AWS.- Reduced API and connection latency by 70% by optimising database queries and eliminating bottlenecks.- Used machine learning models to predict students' abilities and serve quizzes improving user accuracy by 20%.- Built an evaluation engine for handwritten subjective answers using OCR tools and finetuned open source LLMs built on Llama3. Show less