Summary
Overview
Education
Skills
Certification
Projects
Websites
Affiliations
Timeline
Generic

ROHITH CHALLA

Harrison

Summary

Entry-level AI/Machine Learning Engineer with a Master's in Data Science, proficient in machine learning, deep learning, and natural language processing. Experienced in deploying cloud-based models and optimizing large language models for improved performance in AI applications. Demonstrated ability to enhance decision-making processes through advanced AI techniques.

Overview

1
1
Certification

Education

Master of Science - Data Science

Pace University, Seidenberg School of Computer Science and Information Systems
New York, NY
12.2024

Bachelor of Technology - Electronic and Computer Engineering

SRM Institute of Science and Technology
Chennai, India
05.2023

Skills

  • Programming languages: Python, SQL
  • Deep Learning: CNNs, RNNs, LSTMs, GRUs, Transformers, GANs
  • Machine Learning Frameworks: TensorFlow, PyTorch, and Scikit-learn
  • NLP and Generative AI Models: BERT, Word2Vec, CodeLlama, Google Gemma 2
  • Techniques and Applications: Tokenization, Named Entity Recognition (NER), Word Embeddings, Text Summarization, Conversational AI, Retrieval-Augmented Generation (RAG), Sequence-to-Sequence Models, Attention Mechanisms, LLM Fine-tuning, Multi-Agent Systems, and Stateful AI Workflows
  • Tools and Frameworks: Langchain, Hugging Face Transformers, OpenAI API, Ollama, SQL Toolkit, Agent Type, Crew AI, Lamini, and LangGraph
  • Search and Databases: Hybrid Search with Vector Databases (FAISS, AstraDB), GraphDB, Cypher Query Language, Knowledge Graph-based Q&A
  • UI/UX Frameworks: Streamlit and Gradio
  • Certifications: AWS Machine Learning Engineer Associate (MLA-C01), AWS Cloud Practitioner Certificate (CLF-C02), AWS AI Practitioner (AIF-C01), Azure AZ-900, Databricks Fundamentals Accreditation, SQL Certificate – HackerRank, Deep Neural Networks with PyTorch – (IBM)

Certification

  • AWS Machine Learning Engineer Associate (MLA-C01)
  • AWS Cloud Practitioner Certificate (CLF-C02)
  • AWS AI Practitioner (AIF-C01)
  • Azure AZ-900
  • Databricks Fundamentals Accreditation
  • SQL Certificate - HackerRank
  • Hadoop Platform and Application Framework - (UC San Diego)
  • Deep Neural Networks with PyTorch - (IBM)

Projects

  • AI-Powered SQL Query Assistant

Developed a conversational AI system using Langchain + SQL Toolkit that allows users to query SQLite and MySQL databases using natural language. Deployed using Streamlit and integrated with LLMs via Groq API.

  • Text-to-Math Solver using Google Gemma 2

Implemented a Langchain-based assistant that parses natural language math problems and solves them using Google Gemma 2 and LLMMathChain, wrapped in a user-friendly Streamlit UI.

  • Code Assistant – Local LLM-Powered Developer Helper

Built an interactive code assistant using a locally hosted LLM (via Ollama) and Gradio interface. Implemented prompt history handling and streaming-free inference using a REST API. Designed the assistant to provide code explanations, completions, and debugging suggestions, simulating a lightweight AI pair programmer.

  • Predictive Maintenance Pipeline for Machinery

Developed an end-to-end predictive maintenance system using the NASA turbofan engine dataset. Built machine learning models to estimate Remaining Useful Life (RUL), integrated with Apache Airflow for task orchestration and AWS S3 for data storage.

Affiliations

  • Pace Data Engineering Club — Core Member

Led and contributed to hands-on workshops focused on ETL pipeline design, data architecture best practices, and cloud-based data solutions. Collaborated with peers to organize sessions, mentor members, and demonstrate practical implementations using real-world datasets and cloud platforms.

Timeline

Master of Science - Data Science

Pace University, Seidenberg School of Computer Science and Information Systems

Bachelor of Technology - Electronic and Computer Engineering

SRM Institute of Science and Technology

Similar Profiles

CREATE PROFILE
ROHITH CHALLA