Hey there! πŸ‘‹

I’m Aditya Pakala, a Software, Data Science, and AI Enthusiast currently pursuing my Master’s at The University of Texas at Dallas. I thrive at the intersection of AI, big data, and scalable systems, turning complex data into actionable insights and AI into real-world impact! πŸš€

Why Hire Me? πŸ’‘

With hands-on exposure to fast-paced startups, large-scale MNCs, and deep tech research, I bring a unique blend of agility, scale, and innovation to every project I work on.

πŸ”Ή Diverse Experience Across Startups, MNCs & Research

πŸš€ Y Combinator Startup – ZeoAuto (YC W20)

🏒 Global Tech & MNC – InMobi

πŸ”¬ Cutting-Edge AI Research – Artificial Intelligence Institute of South Carolina

πŸ”Ή Academic Excellence

πŸŽ“ Master of Science – The University of Texas at Dallas

πŸ† Dean’s Excellence Scholarship Recipient

πŸŽ“ Master of Science – BITS Pilani

πŸŽ“ Bachelor of Engineering – BITS Pilani

πŸ”Ή Research Publications

πŸ“š Published 5 Research Papers in Prestigious International Conferences & Journals, including EMNLP 2023.

πŸ”₯ Areas of Interest & Tech Stack

πŸ’» Software Development – Python, R, Java, C++, Go, JavaScript, TypeScript, Cloud Computing (AWS, GCP, Azure), Microservices, REST APIs, GraphQL

🧠 Machine Learning & AI – Deep Learning, NLP, Generative AI, LLMs (GPT, BERT, T5), Computer Vision, Reinforcement Learning, Predictive Modeling, MLOps (Kubeflow, MLflow, TensorFlow Serving)

πŸ“Š Data Science & Analytics – Big Data (Spark, Hadoop, Dask), SQL, NoSQL (MongoDB, Cassandra), Data Warehousing (Snowflake, BigQuery, Redshift), BI Tools (Tableau, Power BI, Looker), Feature Engineering

πŸ“ˆ Quantitative Research – Financial Analytics, Time Series Forecasting, Risk Modeling, Statistical Modeling (Bayesian Inference, Hypothesis Testing, A/B Testing)

πŸš€ Additional Interests – Edge AI, AI for Finance, Large-Scale Distributed Systems, High-Frequency Trading (HFT) Models

Research Publications πŸ“šβœ¨

  1. FACTIFY3M: A Benchmark for Multimodal Fact Verification with Explainability through 5W Question-Answering πŸ“„ β€” Conference Paper, Published: January 2023, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023)
  2. Advancing Predictive Maintenance: A Data-Driven Approach for Accurate Equipment Failure Prediction πŸ”§ β€” Chapter, Published: February 2025, Authors: Aditya Pakala, Dhairya Shah, Sunil Jha
  3. Drug Discovery using Artificial Intelligence πŸ’Š β€” Article, Published: February 2023, Authors: Aditya Pakala, Kunal Vora, Bandanadam Anusha Rani, Suprith Bc
  4. Mathematical Modeling of Simultaneous Nitrification and Denitrification in Bioreactor Systems πŸ§ͺ β€” Conference Paper, Published: March 2023, National Conference on β€œSustainable Technologies in Chemical-Biological Systems” (STCBS)
  5. Heart Disease Prediction by Machine Learning Over Big Data from Health Care Communities ❀️ β€” Conference Paper

πŸ“’ News & Updates

πŸ“Œ June 2025 – Incoming Summer Intern @ Walmart Global Tech πŸŽ‰!

πŸ“Œ Feb 27, 2025 – Research Paper β€œAdvancing Predictive Maintenance: A Data-Driven Approach for Accurate Equipment Failure Prediction” published in Industry 4.0 and Advanced Manufacturing, Volume 1 πŸŽ“

πŸ“Œ Oct 7, 2023 – Research Paper Accepted at EMNLP 2023 πŸŽ‰ FACTIFY3M: A Benchmark for Multimodal Fact Verification with Explainability through 5W Question-Answering πŸ“–

πŸ“Œ Aug 2024 – Started my Master’s at The University of Texas at Dallas (UTD) πŸŽ“ Focused on Applied Machine Learning and Data Science! 🧠

πŸ“Œ Jan 2024 – Presented at International Conference at IISc Bangalore πŸ“ Presented paper: β€œPredictive Maintenance using ML Algorithms”

πŸ“Œ Jan 2024 - Jul 2024 – Started Internship at ZeoAuto (YC W20) πŸš€ Excited to contribute to cutting-edge AI-powered solutions!

πŸ“Œ Jul 2023 - Dec 2023 – Completed Internship at InMobi πŸ“Š Enhancing business strategies through data and machine learning!

πŸ“Œ May 2023 - Jul 2023 – Completed Project Internship at IIT Delhi πŸ”¬ Working on predictive maintenance with machine learning!

πŸ“Œ Aug 2022 - Jul 2023 – Completed Research Internship at AI Institute of South Carolina πŸ”¬ Working on multimodal AI and fake news detection!

πŸ“Œ Oct 3, 2022 – Earned the Bloomberg Market Concepts (BMC) Certification πŸ“ˆ Expanding my financial and data analytics knowledge!

πŸ“Œ Aug 2019 – Started Dual Degree at BITS Pilani πŸŽ“ Leading in technology and innovation in India!