Work Experience

Research Development, ASU Knowledge Enterprise (Current) 

Software Engineer

• Leading institutional funding analysis through data mining of federal and philanthropic opportunities, developing automated pipelines to assess eligibility alignment and proposal competitiveness.

• Implementing statistical frameworks for tracking faculty performance metrics and funding trends, creating comprehensive visualization dashboards for key stakeholders and strategic decision-making.

• Designing and maintaining a centralized faculty expertise database with optimized query performance, enabling efficient matching of research capabilities with funding opportunities.

Internship Experience

Robotics Research Center 

International Institute of Information Technology,  Hyderabad 

Research Assistant

• Developed a deep reinforcement learning approach for multi-robot collision avoidance, addressing high collision rates in dense environments through safe navigation policies.

• Built a custom OpenAI Gym environment for aerial robot simulations, conducting extensive testing of various RL algorithms (PPO2, A2C, DQN, TRPO) across 1000+ evaluation episodes.

• Improved navigation performance using PPO2, achieving 93% success rate and reducing collision rates from 12% to 2.8%, while maintaining efficient path planning with 25% faster navigation times.

Usable Security Lab

Indhraprastha Institute of Information Technology,  Delhi

Research Assistant 

• Engineered data processing pipelines for malware network traffic using pcap files in the Jugaad framework, implementing a cross-platform solution that supports multiple operating systems.

• Achieved state-of-the-art performance with 99.6% F1 score on the CICAndMal 2017 benchmark through systematic evaluation and optimization of deep learning architectures including Auto Encoders, DQN, and LSTM.

• Developed a comprehensive malware detection system integrating multiple ML approaches (DQN, LSTM, GRU, SVM, XGBoost), demonstrating ability to architect large-scale machine learning solutions. 

IIM Banglore

Data Science Intern 

• Developed a comprehensive web scraping system using Selenium and Python to extract data from 1000+ research papers, implementing advanced filtering mechanisms to categorize papers by deep learning, reinforcement learning, and machine learning topics.

• Conducted comparative analysis to determine research output distribution between academia and industry, utilizing SQL databases for efficient storage and pandas/scikit-learn for statistical analysis, revealing significant trends in AI research priorities. 

• Engineered sentiment analysis models using LSTM and RNN architectures to evaluate research focus and impact, incorporating NLP techniques such as tokenization, word embeddings, and TF-IDF to achieve 87% classification accuracy.