Projects & Industry Applications
From Laboratory Tools to Measurable Impact: systematic thinking applied to solve real problems
Laboratory Tools
Understanding the physical problem & hardware constrains
Code & Automation
Building robust pipelines & automated controls
Measurable Impact
Delivering efficiency gains & reliable data

Twin-Foci Laser Polarization Control System
Completed & In UseAutomated Experimental Control • Python • PyQt5
Challenge
Manual rotation of quarter-wave plates and Glan-Taylor polarizers for polarization scans (±45° and full 360°) took over 2 hours per dataset, with inconsistent angular precision and high risk of human error.
Solution
Developed a Python-based GUI application (PyQt5) for automated hardware control, real-time power monitoring, and precise angular positioning. Inspired by self-referencing techniques for circular dichroism measurements, the system ensures reproducible polarization quality for twin-foci beam profiles.
Impact
- •Reduced scan time from 2+ hours to ~5 minutes (96% faster)
- •Eliminated manual positioning errors
- •Enabled multiple high-quality datasets per day instead of 1–2

PEPICO Data Analysis Pipeline
In Active UseHigh-Throughput Spectroscopy Analysis • Python • Jupyter
Challenge
Time-resolved PEPICO experiments produce complex binary data from TDC acquisition. Manual conversion and analysis limited throughput and introduced inconsistencies.
Solution
Built a Python/Jupyter-based pipeline that converts raw TDC binary files to calibrated time-of-flight spectra, performs electron kinetic energy and mass calibration, coincidence analysis (TOF-vs-TOF), and statistical evaluation. Users specify data location and basic parameters; the pipeline handles the rest.
Impact
- •Processes multiple datasets reliably and consistently
- •Generates publication-ready plots and statistical summaries
- •Removes analysis as a bottleneck, experiment pace now drives progress
FTIR/Raman Spectroscopy Automation Pipeline
In ProgressPlanned Development • Data Science • Machine Learning
Challenge
High-throughput spectroscopic analysis requires processing 200+ spectra per day with minimal manual intervention.
Solution
Creating a robust, semi-automated workflow featuring automated baseline correction, peak fitting, machine-learning classification for material identification, outlier detection, quality scoring, and LIMS integration.
Impact
- •Reduce processing time from weeks to hours for large batches
- •Standardize analysis across datasets
- •Enable parallel research streams in materials characterization

INSPIRE Fellowship Research Program
Completed5-Year National Research Project • Multi-Institution Coordination
Challenge
Manage a prestigious national fellowship (one of ~1,000 awarded annually in India) as principal researcher while completing PhD research.
Solution
End-to-end program delivery including annual financial reporting, procurement planning, progress tracking for government review, and multi-institution collaboration across Germany and India over 5 years.
Impact
- •Delivered 12 first-author publications
- •Contributed to one granted patent (gas-separation membranes)
- •Maintained regulatory compliance across 5-year program
- •Coordinated with stakeholders across multiple institutions
Laboratory Workflow Optimization
OngoingProcess Improvement • Team Coordination • Resource Planning
Challenge
In a shared ultrafast laser laboratory, scheduling conflicts, documentation gaps, and workflow handoffs limited overall productivity.
Solution
Team-based implementation of shared equipment booking calendar, standardized maintenance checklists, experimental protocols, and Obsidian-based shared lab notebook. Weekly planning meetings align schedules and priorities.
Impact
- •Improved equipment availability and reduced downtime
- •Enabled smoother onboarding and better collaboration through superior documentation
- •Increased overall group throughput (estimated ~40% from combined improvements)
From Research to Real-World Impact
The same systematic approach that drives these projects applies directly to data science, process optimization, and technical project management in industry.
Real Code. Real Impact.
I don't just talk about automation, I build it. With efficient, cleaner, and well-documented code that solves actual problems.
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