DEPARTMENT OF ELETRONICS & COMPUTER ENGINEERING

Mr. Aditya Das

Designation:
Assistant Professor (ON CONTRACT)
Qualification:
MS: Computer Science – Stevens Institute of Technology, Hoboken, New Jersey, USA University
BTech: SRM Institute of science and Technology, Chennai
Experience :

Industry: 3.5 Years

Areas of Interest :
Data Analysis, Data Science, AI, Full Stack Development
Email:
adityarohandas@pccegoa.edu.in

NIL

3.5 Years
 

NIL

NIL

Miniature Satellite, International Research Journal of Engineering and Technology (IRJET), Volume: 05 Issue: 10, Serial No. 178, Oct 2018,

Coordinated a week long workshop on “Embedded Systems using Arduino development boards and Raspberry Pi” at SRM Institute of Science and Technology, Chennai in October 2019
 

NIL

  • Full Stack Engineer BNY Mellon (Freelance) Apr 2025 – Jun 2025
    • Developed server-side applications that process financial data, ensuring efficient data flow for portfolio tracking, risk management, and financial analysis.
    • Integrated Apache Kafka for real-time financial data updates, ensuring timely alerts for portfolio performance and market changes.
    • Designed and implemented Kafka producers and consumers to handle high-volume financial transactions, ensuring seamless data streaming between microservices.
    • Optimised Kafka cluster configurations, including partitioning strategies, replication factors, and consumer group tuning, to enhance performance and fault tolerance.
    • Integrated MySQL with Spring Data JPA and Hibernate for querying and aggregating financial data, enabling complex analysis for investment strategy formulation, performance benchmarking, and risk evaluation.
    • Implemented Microservices with Spring Boot and Spring Security, supporting scalable and secure investment management features.
    • Leveraged Redis for caching frequently accessed financial data, reducing database load and improving system response times.
  • Digital Asset Management & Metadata Systems Analyst Queens Public Library (Freelance) United States, Remote Feb 2025 – Mar 2025
    • Led the technical configuration and optimization of QPL’s Digital Asset Management System (DAMS) to streamline ingest, preservation, and discovery of diverse digital archival formats, including images, audio, video, maps, and born-digital manuscripts.
    • Engineered and deployed automated ETL pipelines for ingesting legacy metadata and assets using Python, XSLT, and command-line tools; normalized and transformed VRA Core, EAD, MARC, and Dublin Core records into structured, indexable formats.
    • Designed and implemented batch metadata remediation workflows, reducing catalogue inconsistencies and enhancing schema alignment with Library of Congress standards and linked data practices.
    • Authored custom automation scripts to support asset ingest, validation, and bulk record creation—cutting manual processing time and minimising cataloguing errors.
    • Developed APIs and participated in RESTful integrations with the public-facing catalogue (OPAC) and digital archives web portal;
    • coordinated enhancements for Solr/Lucene-based indexing and search optimisation.
    • Collaborated with ITD developers and external vendors on UI/UX improvements and metadata-driven discovery tools, contributing to QA, bug tracking, and enhancement rollouts.
    • Configured and deployed partner-specific access portals using system permissions and metadata filters, enabling scalable access to community-contributed collections and institutional donors.
    • Developed comprehensive technical documentation and led training workshops for QPL staff and partner organisations;
    • established sustainable metadata entry protocols and ingest workflows.
    • Served as the principal liaison between Metadata Services and cross-functional stakeholders (ITD, Marketing, Vendor Teams), ensuring cohesive system behaviour, requirements alignment, and agile response to change requests.
  • QC Data Analyst TAKEDA PHARMACEUTICALS AMERICA, INC. (Full-time, Contract) Lexington, Massachusetts, United States, On-site Dec 2023 – Sep 2024
    • Was a part of the Quality Control Method Support team responsible for detecting trends, outliers and potential issues within the assay tests run for drug products (Replagal, Vpriv, Elaprase) manufactured at Massachusetts Biological Operations site using tools such as R Studio, Minitab, JMP and Statistica.
    • Oversaw conducting of root cause analysis on any deviations or out-of-specification (OOS) results to identify underlying issues within assays run within the QC lab for each quarter.
    • Was tasked with documenting findings and results found after analysis with tools such as TrackWise and LIMS.
    • Assisted in the statistical analysis required for method validation studies, ensuring methods are robust and reproducible.
    • Was tasked with keeping track of QC activities with the application of JIRA and Confluence.
    • Documented the statistical results that displayed invalid trends in test samples using Veeva.
  • Software Validation Engineer LS Solutions (Full Time, On) Princeton, New Jersey, United States, On – site Jan 2023 – Nov 2023
    • Designed and executed test cases, including unit tests, integration tests, system tests, and user acceptance tests (UAT) using automated testing tools like Selenium and manual testing tools with HP ALM.
    • Performed software verification and validation to ensure compliance with design and user requirements with CI/CD tools like Jenkins and GitLab CI.
    • Investigated and resolved software-related incidents and deviations to implement corrective and preventive actions (CAPA) to address validation issues using incident management systems such as ServiceNow and CAPA management tools such as MasterControl CAPA.