Adhikram Maitra

Experience

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  Training and Placement Cell , CGEC

  Aug 2019 - Oct 2021

  Representative of CSE 2021
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  Devsnest

  Jun 2020 - Oct 2021

  • Pioneered automation of group creation and moderation on Discord through the main website using SQS, unlocking the peer-learning aspect of the product. Resulted in reduced management expenses for cohortsand significantly increased community engagement during the COVID era. Demonstrated leveraging innovative strategies to navigate through challenging times, resulting in substantial company growth and achievements.• Developed robust notifier systems, leveraging List Monk, to handle high volumes of engagement and promotional emails, resulting in increased user interaction and retention and Discord notification system using the Round Robin method, for effectively managing and circumventing Discord’s rate limit of 5 messages per second, ensuring efficient communication with the user and promoting community engagement.• Customized DSA Editor using Judge0 API for real-time code execution and evaluation. Standardized abackend editor with custom assertion testing to elevate students’ proficiency in Backend. Show less

  • Back End Engineer

    Oct 2020 - Oct 2021

  • Backend Intern

    Jun 2020 - Oct 2020
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  Media.net

  Oct 2021 - Feb 2025

   Parameter Mismatch Stack:- Scala, Spark, HiveScale:- Comparing between nearly 100Gb Data in 30 minutes∗ Crafted an advanced tool for ensuring data reliability. This innovative solution swiftly identifies loggingdiscrepancies, empowering seamless data validation and fortifying the reliability of downstream datasets. DANTE (Data Anomaly Tracker) Stack:- Scala, Spark, HiveScale:- Comparing between nearly 3 Billion Rows and 200 Million Rows in 30 minutes∗ Optimized with parallel data reading that led to a 60-pct reduction in data (>100Gb) processing time,enabling developers real-time data validation and trend analysis for voluminous datasets.∗ Conceptualized our first configurable data quality tool, designed to operate with diverse statistical formulas to track data trend shifts and null value surges, which fortified data integrity for systems. Spark Submit Orchestrator Stack:- Bash, SQL∗ Developed a process that orchestrates Spark submissions and PySpark scripts, dynamically fetchingconfiguration from MySQL. This centralizes and tracks configurations used in Spark jobs, while providing data for real-time performance monitoring. StopLoss System Stack:- Java, Structured Streaming, Batch ProcessingScale:- Fetching 50k records per second from Kafka and processing it in 5 minute bucket∗ Integrated HBase with Kafka Source which led to a 30-minute reduction in data latency and efficient error handling with faster access to actionable insights, establishing scalable foundation.∗ Implemented A/B testing to gain insights into traffic patterns which led to a remarkable 15-pct reduction in overall losses, contributing to the company’s research and development for profitability. Show less

  • Data Application Developer 2

    May 2024 - Feb 2025

  • Data Application Developer

    Oct 2021 - May 2024
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  Stealth Startup

  Feb 2025 - now

  Engineer