Lagan Pathania

• • Service & Framework Development: Designed a standardized 3-phase consulting methodology (Workflow Audit, Architecture Proposal, Agile Implementation) aimed at optimizing automated liquid handling and data pipelines for early stage biotech labs.

• • Technical Architecture: Developed the conceptual architecture for a "Multi-Instrument Data Harmonizer" service model. Designed workflows to systematically bridge raw hardware outputs (e.g., CSV logs) with centralized data visualization tools.

• • Digital Infrastructure & Market Integration: Built and deployed a technical portfolio (https://laganpathania.com/) to codify automation service offerings. Initiated market research and networking within the Hamburg/Göttingen life science ecosystem to identify operational bottlenecks in target laboratories.

High Throughput screening of compounds for Service Level agreements

Lab automation

Training of employees

• • Process Engineering & Workflow Automation: Proactively identified severe inefficiencies in lab operations and independently developed custom automation scripts (VBA, Python) for liquid handling systems (iDOT, Flex). Replaced hours of manual data entry with streamlined CSV data transfers and standardized protocol setups, drastically reducing manual overhead, minimizing human error, and creating scalable operational workflows.

• • Scientific Data Automation: Architected and deployed scalable Python scripts to automate the analysis of complex spent media data across all bioreactor volumes (up to 500L). Automated the generation of advanced visualizations (heatmaps, PCA charts), eliminating tedious manual data crunching and enabling the cross-functional R&D team to make rapid, data-driven decisions on bioprocess scaling.

• • Formulation Development & Cost Optimization : Built & Managed High-Throughput Screening (HTS) campaigns to systematically develop novel serum-free and animal-protein-free media formulations. Successfully delivered highly cost effective media solutions, significantly reducing the projected Cost of Goods Sold (COGS) for commercial-scale manufacturing

• • Resource Allocation & Budget Efficiency: Applied statistical modeling (Design of Experiments) to streamline project roadmaps. Significantly reduced resource waste and material costs, accelerating the validation phase for large-scale production

• • Execution Drive & Team Leadership: Acted as a self-starting operational architect within a fast-paced scale-up environment. Took full end-to-end ownership of automation initiatives—from recognizing operational bottlenecks to writing the code and leading change management by training cross-functional staff. This proactive approach significantly increased overall team productivity and standardized internal operations.