Jan 2025 – May 2025 · 4 mos · College Station, Texas, United States · On-site

• Contributed to AI-driven agricultural research focused on plant phenotyping to address food security and renewable energy demands, with applications in biofuel production and yield optimization.
• Developed and implemented 3D reconstruction algorithms inspired by Neural Radiance Fields (NeRFs) and Gaussian Splatting, achieving reconstruction accuracy improvements of up to 8% PSNR on selected plant datasets.
• Explored novel applications of NeRF and Gaussian Splatting techniques for underutilized imaging modalities, including multispectral and hyperspectral imaging, enabling richer phenotype analysis across 4+ spectral channels.
• Leveraged Texas A&M’s High-Performance Research Computing (HPRC) infrastructure, deploying models on systems with 256+ GB RAM and NVIDIA A100 GPUs, reducing training time by 40% compared to local GPU environments.
• Improved phenotyping workflow efficiency by reducing manual annotation time by an estimated 5–10%, while maintaining high fidelity in 3D reconstructions across diverse crop scenes.

Nov 2024 – May 2025 · 6 mos · College Station, Texas, United States · On-site

• Collaborated with a multidisciplinary team under the mentorship of Dr. Wei Li and Program Manager Anthony Chen to develop a mobile-based platform enabling autonomous microtransit services for underserved communities.
• Designed and refined route optimization algorithms, improving path efficiency by ~23% based on simulated transport models and geospatial constraints.
• Integrated real-time geolocation functionality into a Flutter-based mobile application, using the GeoLocator plugin and conducting feasibility evaluations across 3+ alternative plugin solutions.
• Led research into real-time location update mechanisms, comparing HTTP vs. WebSocket architectures and advising on communication strategy for improved performance and reliability.
• Proposed and helped implement backend support using AWS EC2 and PostGIS, optimizing server-side infrastructure to support scalable and secure tracking workflows across multiple device types.
• Contributed to interface compatibility testing across iOS and Android platforms, ensuring seamless user experience in dynamic transit environments.
• Participated in multiple technical review meetings, conducted codebase optimizations, and maintained CI/CD pipelines to ensure milestone delivery and cross-team alignment.

Aug 2024 – May 2025 · 9 mos · College Station, Texas, United States · On-site

• Spearheaded enhancements to the ISSS database portal, reducing student insurance refund processing time by over 50%, directly benefiting a user base of 10,000+ international students and scholars.
• Conducted rigorous system testing and UI/data flow debugging, reducing error incidence by ~20% and improving the stability and reliability of student-facing services.
• Designed, developed, and maintained ISSS website content, ensuring accessibility, compliance, and timely updates across 20+ core pages serving a global student audience.
• Supported the maintenance and partial redesign of internal databases, optimizing 3+ operational workflows and improving access to student records and services.
• Authored a comprehensive internal guide on prompt engineering and AI usage, streamlining document generation and enhancing staff productivity across communications.
• Contributed to institutional projects supporting Texas A&M’s global engagement efforts, including orientation events, compliance updates, and reporting processes.
• Participated in the full-cycle migration from Sunapsis to Via for case management, validating data integrity and minimizing disruption during the transition phase.

Jun 2024 – Aug 2024 · 2 mos · College Station, Texas, United States · On-site

• Contributed to improving content and user experience for the ISSS website, supporting ~10,000+ international students and scholars, and enhancing information accessibility.
• Designed, contributed, and delivered 10+ promotional and informational posters used across campus offices and digital platforms, increasing student engagement in key programs by an estimated 10%.
• Streamlined data workflows by updating and maintaining student records in internal databases, improving processing efficiency and reducing information retrieval time by ~10%.

Aug 2024 – Dec 2024 · 4 mos · College Station, Texas, United States · On-site

• Pioneered a cutting-edge biomedical data science project focused on glioblastoma drug response modeling, analyzing 1,200+ small-molecule compounds using advanced cheminformatics approaches.
• Achieved a 15.3% improvement in predictive accuracy over baseline models by implementing Graph Convolutional Networks (GCNs), Maximum Common Substructure (MCS) analysis, and similarity-based learning techniques.
• Preprocessed and harmonized over 10,000 experimental datapoints from GDSC and COSMIC databases, mitigating data sparsity and inconsistency using three-tier imputation strategies and cross-dataset alignment algorithms.
• Identified top 5 high-confidence drug candidates through pathway enrichment and sensitivity analysis, revealing actionable mechanisms linked to EGFR and VEGFR signaling pathways in glioblastoma.
• Contributed to model innovation by integrating One-Class SVMs and surrogate modeling techniques for molecular property estimation, enabling high-efficiency screening with minimal computational overhead.
• Participated in literature review and experimental design aligned with surrogate modeling frameworks, contributing to reproducibility and scalability in biomedical simulations.

Apr 2021 – Apr 2022 · 1 yr · Hazaribagh, Jharkhand, India · On-site

• Reduced Optical Fiber Cable (OFC) downtime by 12% by analyzing fault logs and streamlining fault rectification procedures using structured data in MS Excel.
• Led the rollout of FTTH (Fiber-to-the-Home) services across underserved zones, contributing to the connection of 1,500+ new customers in a single month and increasing revenue by ~12.8%.
• Restored disrupted systems (10G, CPAN, MADM) and reduced average fault rectification time from 3 days to just 6 hours, using real-time diagnostic insights and historical fault data.
• Coordinated daily splicing operations across 6+ regional teams, improving fault-handling efficiency and ensuring uninterrupted OFC link uptime across multiple districts.
• Maintained detailed documentation for fiber faults, work logs, and splicing reports, contributing to a 25% faster incident response through standardized reporting workflows.
• Authored technical letters, meeting minutes, and operational reports that improved intra-team communication and minimized delays in approval cycles.
• Received 2 Letters of Appreciation for outstanding contributions in the FTTH and optical fiber maintenance domains, including record-setting installation performance.

Jul 2020 – Dec 2020 · 5 mos · Hazaribagh, Jharkhand, India · On-site

• Collaborated within a 6-member technical team to implement FTTH (Fiber-to-the-Home) technology across 10+ residential and commercial zones, enhancing communication bandwidth and improving data speeds for 1,000+ end users.
• Rectified Optical Fiber Cable (OFC) routes at over 27 locations, diagnosing and resolving fiber faults to restore disrupted connections and reduce signal loss across the network.
• Assisted in configuring and maintaining transmission equipment, including OTDR, DTA Set, MADM modules, 10G routers, and splicing tools, gaining hands-on experience in high-speed optical data networks.
• Prepared weekly reports and presentations detailing field progress, fault patterns, and resolution steps, contributing to better coordination between field engineers and supervisors.
• Compiled and structured work implementation data using Excel and PowerPoint, improving clarity in documentation and communication with project leads.