Summary
Overview
Work History
Education
Skills
Certification
Timeline
Generic

Adarsh Aggarwal

sydney,NSW

Summary

Experienced Python developer with expertise in Robotics and Automation. Proficient in IoT integration and LLM-based solutions. Demonstrated skills in data security, automated systems, API development, and Project Management. Successful track record of developing proof-of-concept projects and leading cross-functional teams to optimize processes for improved operational efficiency. Utilize analytical tools and interdisciplinary knowledge to drive innovation, streamline workflows, and consistently deliver projects within budget and timelines.

Overview

7
7
years of professional experience
1
1
Certification

Work History

Python Developer

Progentic.ai
05.2024 - Current
  • Led a Proof of Concept (POC) for Document Redaction, developing a platform to identify and redact Personally Identifiable Information (PII) to ensure compliance with data privacy regulations.
  • Designed and implemented a Reporting Platform utilizing OpenAI, Azure and Large Language Models (LLMs) to generate natural language-based reports, enhancing efficiency and usability.
  • Automated Azure billing processes by developing function apps for API usage tracking, streamlining billing operations and improving cost management.
  • Built secure infrastructure with integrated data protection measures to enhance overall system security and safeguard sensitive information.
  • Enhanced data security by implementing guardrails to prevent breaches and training models to minimize hallucinations and improve accuracy.
  • Developed pipelines for extracting document data using OCR techniques, enabling advanced data analysis and seamlessly feeding machine learning models for more accurate insights, while reducing manual efforts by 70%.

Developer

Exelex.io
08.2023 - 04.2024
  • Led Proof of Concept (POC) initiative to develop smart farms and implement livestock monitoring, overseeing project scope, timelines, and resource allocation, resulting in up to 40% reduction in operational costs compared to conventional farming methods.
  • Leveraged an open-source platform to enhance productivity and streamline operational costs, ensuring alignment with project objectives and budget constraints while achieving significant cost savings.
  • Directed the integration of Internet of Things (IoT) technology into traditional farming methods, collaborating with cross-functional teams to ensure seamless execution, adherence to project milestones, and a focus on cost reduction.
  • Innovated and optimized agricultural practices through the application of cutting-edge technologies, achieving measurable improvements in efficiency while maintaining a focus on project deliverables and stakeholder expectations.
  • Developed proposals for stakeholders, ensuring alignment of project objectives with stakeholder expectations, timelines, and budget constraints, while emphasizing the cost-effectiveness of smart farming solutions.

Developer

Go Brilliant
07.2021 - 08.2023
  • Gathered and analyzed stakeholder requirements, designing and developing technical solutions in Python to align project objectives with expectations and budget constraints.
  • Integrated Programmable Logic Controllers (PLCs) with Python-based systems to enable seamless data flow and automate control across IoT-enabled devices.
  • Developed Python scripts for continuous data archival and backup, achieving 50% reduction in storage costs and 30% improvement in query performance.
  • Implemented and refined Python-based data validation queries to verify data quality, pinpoint errors, and maintain data integrity throughout pipeline.
  • Built interactive dashboards using Python libraries and integrated them with platforms like Thingworx to visualize real-time data streams, providing actionable insights for stakeholders.
  • Deployed machine learning models in Python for predictive maintenance of pumps and filters, reducing downtime and enhancing system reliability.
  • Created Python-driven Business Intelligence (BI) tools and Key Performance Indicators (KPIs) to optimize operational efficiency and improve profitability.

Research Scholar

ARTPARK
08.2021 - 07.2022
  • Developed virtual and physical robotic arms using ROS, integrating the virtual arm into the Gazebo simulation environment to test and refine robotic operations.
  • Engineered a ROS node for seamless communication between the virtual and physical robots, ensuring efficient coordination and data exchange.
  • Deployed Raspberry Pi devices to capture environmental data and transmit it to a cloud database, enabling remote monitoring and data storage.
  • Implemented synchronization mechanisms to control the physical robot based on input joint angles from the virtual controller, achieving precise and responsive motion control.
  • Conducted data analysis to identify patterns and dependencies in sensor data, enabling real-time condition monitoring and predictive maintenance.
  • Authored and published professional scientific papers in international conferences, contributing to the advancement of robotics and IoT knowledge.
  • Developed an Industry 4.0 system for SMEs using open-source technologies, establishing a proof of concept to demonstrate cost-effective and scalable solutions for smart manufacturing.
  • Access the project repository on GitHub:
    https://github.com/Adarsh-Aggarwal98/digitaltwin.

Systems Engineer

ARI Simulation PVT Ltd
06.2018 - 08.2020
    • Compiled data from manuals, research papers, and industry experts to ensure comprehensive coverage of engine room operations
    • Collaborated closely with subject matter experts to integrate insights into simulator design and functionality
    • Utilized in-house software capabilities to translate data into interactive simulations
    • Employed cutting-edge technologies for real-time feedback and dynamic adjustments
    • Iteratively tested and refined the simulator for a seamless and intuitive user experience
    • Optimized simulator to deliver hands-on experience in maneuvering controls and operational scenarios

Education

Master of Science - Robotics

J.C. Bose University of Science And Technology
India
06-2022

Bachelor of Science - Mechanical

Chitkara University
Punjab,India
07-2019

Skills

  • Microsoft Azure
  • System design
  • Cost estimation
  • Agile methodology
  • Software prototyping
  • PowerBI
  • Generative AI
  • Machine Learning
  • Docker
  • Data Analysis
  • Digital Twin
  • LLM
  • Prompt Engineering
  • RaG
  • OCR

Certification

  • Google Data Analytics
    Professional Certificate, 2022
  • AWS IoT: Developing And
    Deploying An Internet Of Things,
    2021
  • Introduction To IoT By Cisco,
    2021
  • Solidworks CFD simulation by
    skill-lync.
  • Matlab byb skill-lync.

Timeline

Python Developer

Progentic.ai
05.2024 - Current

Developer

Exelex.io
08.2023 - 04.2024

Research Scholar

ARTPARK
08.2021 - 07.2022

Developer

Go Brilliant
07.2021 - 08.2023

Systems Engineer

ARI Simulation PVT Ltd
06.2018 - 08.2020

Master of Science - Robotics

J.C. Bose University of Science And Technology

Bachelor of Science - Mechanical

Chitkara University

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Adarsh Aggarwal