Deepesh Gupta

AI/ML Engineer | Data Engineer
Remote, IN.

About

Highly motivated AI/ML Engineer with hands-on experience in developing and deploying scalable AI, Machine Learning, and Generative AI applications. Proficient in building end-to-end data-driven solutions, leveraging Python, deep learning frameworks, and LLM technologies. Eager to contribute to dynamic tech teams focused on cutting-edge AI/ML and data engineering challenges.

Work

Andovar
|

Localization Engineering Intern

Remote, Remote, India

Summary

Spearheaded the automation of localization workflows using Python scripts, significantly reducing processing time and optimizing content delivery for international projects.

Highlights

Automated localization workflows using Python scripts, achieving a 40% reduction in processing time and enhancing operational efficiency.

Optimized client file handling processes, ensuring seamless multi-language content delivery across diverse global platforms.

Played a key role in the successful execution of two international projects, contributing to global content reach and client satisfaction.

Education

KK Modi University
Durg, Chhattisgarh, India

B.Tech

Computer Science (AI & ML)

Skills

Programming Languages

Python, C++, Bash.

Machine Learning & Deep Learning

Scikit-learn, TensorFlow, PyTorch, Keras, XGBoost, OpenCV.

Generative AI & Natural Language Processing

LangChain, LangGraph, Gemini API, Hugging Face, RAG, FAISS, Vector DBs, Embeddings, Prompt Engineering, LLM Fine-tuning, Transformer Architectures.

Data & Visualization

Pandas, NumPy, Matplotlib, Seaborn, Plotly, Apache Spark.

Databases & Data Warehousing

SQL, PostgreSQL, MySQL, NoSQL, MongoDB, BigQuery, Apache Airflow, DBT.

Cloud & Development Tools

GCP (Vertex AI, BigQuery, Cloud Storage, Dataflow, Cloud Functions, Cloud Run), Docker, Kubernetes, Streamlit, Git (advanced branching, merging), GitHub Actions (CI/CD), LangFlow, Flowise, MLflow, Flask, FastAPI.

Soft Skills

Communication, Problem-Solving, Collaboration, Cross-functional Teamwork.

Projects

AutoML No-Code ML Web App

Summary

Engineered a Streamlit-based AutoML platform, providing a no-code solution for end-to-end Exploratory Data Analysis (EDA), model training, and evaluation.

QuickTrack - Real-Time Object Detection

Summary

Designed and implemented a real-time object detection system leveraging YOLOV8 and OpenCV, featuring customizable parameters for broad applicability.

MultiPdfChatBot LLM-Powered Document QA

Summary

Developed an advanced LLM-powered chatbot for PDF-based Question & Answering, utilizing LangChain, Gemini API, and FAISS for robust document intelligence.