Student

Suraj Botcha

*******@******.***.***

https://www.linkedin.com/in/suraj-botcha/ 412-***-****

EDUCATION

Carnegie Mellon University; GPA:3.9/4 Pittsburgh, PA Master of Science in Artificial Intelligence Engineering Chemical Engineering. December 2025 Courses: Systems and Tool Chains for AI Engineers, Introduction to Machine learning with Adversaries in mind, Intro to Deep Learning. Institute of Chemical Technology Mumbai, India

Integrated MTech of Chemical Engineering; GPA: 9.04/10 July 2024 Courses: Chemical engineering operations, Chemical reactive engineering, Multiphase Reaction Engineering, Process Simulation Lab, Mathematical Methods in Chemical Engineering

EXPERIENCE

IIT Goa (Research Intern) August 2023 – November 2023, Goa, India

• Developed and validated models for solving high-dimensional Black-Scholes equations and other PDEs using Physics-Informed Neural Networks (PINNs) and BSDE Feynman Kac approaches, leveraging Monte Carlo simulations to enhance computational accuracy.

Plutus research (Intern) October 2022 – March 2023, Remote

• Applied statistical models such as ARIMA and SARIMA for stock price prediction, attaining a 10% improvement in trend accuracy. Overseen exploratory data analysis (EDA) and time series analysis on chemical engineering and finance datasets, and prepared detailed reports and visualizations for stakeholders to identify key trends. IIT Bombay (Research Intern) June 2022 – August 2022, Mumbai, India

• Performed material and energy balance calculations on refinery Flowsheets, reviewed MEA as a carbon capture solvent, proposed scaling strategies for hydrogen technology, and applied Life Cycle Analysis (LCA) to evaluate MEA and alternative solvents.

Asian Paints (Research Intern) February 2022 – May 2022, Mumbai, India

• Analyzed reactor fouling caused by limpet cooling and chilling coils, devised a shell-and-tube heat exchanger condenser to estimate material loss, improved efficiency in emulsion manufacturing. Indian Oil Corporation (Research Intern) June 2021 – September 2021, Mumbai, India

• Conducted a literature review on Hydrotreated material as an alternative for sulfur removal from FCC units, gaining insights into refinery workflows and industrial processes.. ACADEMIC PROJECTS

A Chemical Engineering Time-Series ML Testbed (Masters Research Project) January 2025 – Present, Pittsburgh Project Advisor – Dr. John Kitchin

• Built and implemented a versatile testbed to benchmark ML algorithms on diverse datasets, working closely with team members to refine features and introducing practical solutions to enhance performance. Data Engineering and Machine Learning Project on FIFA Dataset August 2024 – January 2025, Pittsburgh

• Created and performed a PostgreSQL database schema to integrate and analyze FIFA player data (2015–2022) performing advanced analytics using PySpark and machine learning models (Spark, TensorFlow, PyTorch). Deployed cloud-based solutions for scalable processing and executed predictive modeling, accomplishing optimized model performance through hyperparameter tuning and feature engineering.

Production of Hydrogen using Organic hydrides (Thesis). September 2023 – July 2024, Bhubaneshwar Project Advisor – Dr. Swagat K Mohapatra

• Led a project on sustainable hydrogen production using organic hydrides, implementing innovative gas capture and characterization techniques while collaborating with a multidisciplinary team to validate theoretical models. Successfully defended the thesis and participated in conferences.

CERTIFICATION

Accelerating End-to-End Data Science Workflows, NVIDIA, Jan 2025, Certification ID: uG4-SMUfTwqvlB2nHoJtMQ SKILLS

Languages: Python, C++, SQL Databases: MySQL, MongoDB, Neo4j Tools & Technologies: MLflow, Tableau, Spark, Kafka, Streamlit, Docker, Kubernetes, GitHub Libraries & Frameworks: NLP(NLTK, Transformers), PyTorch, Sklearn, Keras, TensorFlow, Pandas, Flask, Hugging face, JAX LLM & Generative AI: Fine-tuning and deploying LLMs (BERT, GPT, LLaMA), Tokenization, Lora, Transformer-based architectures

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