Feb 2024 – Jun 2024 · 4 mos · Sheffield, England, United Kingdom · Remote

• Developed a Python Framework for Streamlined Satellite Image Time Series (SITS) Analysis:
• Designed a user-friendly Python framework to automate SITS analysis workflows.
• Key Features:
• ROI Management: Enables users to define regions of interest (ROIs) using a Python dictionary.
• Automated Preprocessing: Handles image clipping, mosaicking, and band calculations (e.g., NDVI, NDWI) for each ROI.
• Image Stack Generation: Seamlessly stacks individual ROI images for efficient SITS analysis.
• Data Type Compatibility: Works with various satellite data formats.
• Benefits:
• Streamlines complex SITS analysis workflows, reducing manual effort and processing time.
• Improves data consistency and reproducibility.
• Enhances user experience with an intuitive Python dictionary-based interface.

Jul 2023 – Dec 2023 · 5 mos · Hyderabad, Telangana, India · On-site

• Developed Spatio-Temporal Satellite Image Analysis Framework:
• Designed a comprehensive framework for testing and applying diverse machine learning algorithms on satellite image stacks.
• Supported supervised and unsupervised learning methods, including K-means, Random Forest, SVM, Maximum Likelihood, Self-Organizing Maps, and Artificial Neural Networks.
• Enhanced Algorithm Development through Ground Truth Data Collection:
• Conducted on-site farm visits to collect ground truth data, providing crucial information for model accuracy assessment.
• Collaboratively designed a Ground Truth Collection App on Figma, leveraging user experience insights from data collection activities. This app likely improved data collection efficiency and accuracy.
• Demonstrated Business Acumen:
• Proactively engaged with the business team by suggesting product ideas and market opportunities based on technical expertise and understanding of industry needs.

May 2021 – Sep 2022 · 1 yr 4 mos · Pune, Maharashtra, India

• Developed and Executed Automated Test Scripts for Global Banking Systems (Selenium):
• Designed and implemented automated test scripts using Selenium to ensure the functionality of Citibank's online systems across North America (NAM), Europe, Middle East & Africa (EMEA), and Asia Pacific (APAC).
• Performed proactive testing before market opening hours to guarantee seamless user experience for customers worldwide.
• Demonstrated strong technical skills in web automation frameworks and a commitment to global quality assurance.

Jan 2021 – Apr 2021 · 3 mos · Bangalore Urban, Karnataka, India

• Technical Team Lead (Full-Stack Development) | 9 Developers:
• Led a team of 9 full-stack developers in delivering educational technology solutions for K12 schools in India.
• Provided technical guidance, mentored team members, and ensured efficient project execution.
• Supported Development of Educational Platforms:
• Udaan (ReactJS & Django): Contributed to the development of Udaan, a platform for teachers to manage classes, assessments, and other classroom activities.
• Careerbox-Let'sEduvate (ReactJS & Django): Supported the development of Careerbox-LetsEduvate, a solution designed for schools to manage their workforce.

Jan 2020 – Jan 2021 · 1 yr · India · Remote

• Developing the stack for rendering CGI models for interiors and furniture clients
• 1. Created roadmap for the development of dedicated portal for CGI rendering, management and client service
• 2. Creating the CGI management solution using Reactjs and Python - flask
• 3. Created the portal from ground up with Auth, CGI storage, viewing and management capabilities

Oct 2017 – Dec 2019 · 2 yrs 2 mos · Bangaon Area, India · On-site

• Creating technical stack and managing partnerships for development of applications in satellite remote sensing, machine learning and big data analytics to provide decision intelligence in agri-insurance, infrastructure, climate change domains
• Led the development of an open innovation platform to enable access to GIS based intelligence for 3rd parties
• Enabled satellite imagery pre and post processing from manual ~10 days to automated 5 hours TAT
• Designed cloud based system for analysis of satellite imagery, implemented on AWS EC2 and S3 buckets
• Developed instance management software in python and postgresSQL to manage AWS EC2 instances, reducing cost of AWS Infrastructure by 30%
• Created capability of handling auto-scaling and demonstrated for 3TB data processing per day
• Designed data warehousing in Postgres Relational Database storing analysed geospatial data serving 10 different projects
• Designed and led development of REST API Stack on Python Flask for Satellite analysis data delivery.
• Designed core data visualization dashboard product deployed for 4 different government and banking clients
• Led the design and development of Ground Truth App, an app to register Farmers’ data and store it into our database
• Led design and development of an international client data visualisation on Tableau
• Led the development of python based financial data extraction from sales prospectus of companies (PDF Documents)
• Led the development of semi automated classification of crops using machine Learning (k-means clustering, supervised and unsupervised learning) using SKLearn, Python.
• Led the development of supervised learning based classification algorithm for monitoring infrastructure projects using high resolution satellite imagery
• Program managed technical integration and delivery with domestic and international clients (in government, banking, power, agricultural and financial sector)

Aug 2013 – Oct 2017 · 4 yrs 2 mos · Bangalore Urban, Karnataka, India · On-site

• Developed and implemented solutions for X-ray detector characterization and data analysis:
• Streamlined data analysis: Successfully transitioned detector characterization workflows from MATLAB to Python, leveraging its open-source nature and cost benefits.
• Enhanced detector simulation: Utilized Geant4 to simulate detector response and optimize performance.
• Improved empirical modeling: Employed least squares fitting and tailed Gaussian models to analyze emission profiles from radioactive sources (Am241, Cd109) for accurate characterization.
• Built a real-time data visualization GUI for satellite X-ray data:
• Developed a custom GUI on PyQt: Designed a user interface to capture satellite data streams, extract essential payload information, and display the X-ray spectrum in real-time.
• Demonstrated strong programming skills: Effectively utilized Python libraries like PyQt to create a user-friendly data visualization tool.
• Mentoring: Mentored an MSc. Physics student in his internship
• Collaborated on astrophysical research:
• Co-authored research paper on black holes (published in RAA): Partnered with a professor at Manipal Centre for Natural Sciences to analyze gamma-ray data from the FERMI Large Area Telescope and contribute to the understanding of black holes.

Aug 2011 – Aug 2013 · 2 yrs · Bangalore Urban, Karnataka, India · On-site

• Supported critical missions: Assisted in the successful execution of Mars Orbiter Mission and Chandrayaan-2 Mission through effective communication and progress reporting.
• Facilitated inter-team collaboration: Maintained clear communication channels between PMO, payload divisions, and chip divisions, ensuring timely updates on project progress.
• Managed logistics and records: Handled invoices, tenders, and satellite tests (Thermovac, Thermal Balance, Vibration, Acoustic) to maintain project documentation.
• Contributed to lunar terrain testing: Monitored the development and operation of the lunar terrain test facility for Chandrayaan-2, reporting on facility status, test execution, and system functionality.
• Assisted rover testing: At times, facilitated rover testing by sending commands under the guidance of the rover team.
• Conducted risk assessment: Prepared a comprehensive study report on Comet C2013 A1, evaluating potential risks for the Mars Orbiter Mission satellite during a close encounter.

Oct 2012 – Present · 13 yrs 8 mos · Sheffield, England, United Kingdom · On-site

• Apart from pursuit of science in field of astronomy, astrophysics and instrumentation, I have pursued my interest in Music and Composition
• My songs are posted on spotify
• https://open.spotify.com/artist/1W5Ta1G5zBaLAI9mONJ3r3

Feb 2011 – May 2011 · 3 mos · Pune, Maharashtra, India · On-site

• Developed and implemented a Python pipeline for radio quasar candidate analysis:
• Leveraged optical survey data: Utilized coordinates from optical surveys to identify potential quasar candidates in radio images.
• Optimized image processing: Performed image clipping based on candidate selection and implemented median stacking with noise reduction (sqrt(n)) to enhance signal-to-noise ratio (where n is the number of images).
• Contributed to quasar research: Facilitated the study of combined quasar behavior through efficient image processing techniques.
• Demonstrated proficiency in Python: Successfully applied Python scripting to automate and streamline the data analysis workflow.