Rohit Gupta

Bengaluru, India 0+ yrs exp 71 · Very Good

About

Computer Science graduate with experience in AI engineering, machine learning, data analytics, and software development through industry internships and research. Skilled in building AI applications, RAG systems, multi-agent workflows, OCR solutions, and backend services using Python and modern AI frameworks. First-author IEEE publication with a strong foundation in deep learning, NLP, computer vision, and scalable software engineering.

Skills & Expertise (43)

Python Advanced

8.3/10

Years Exp

Deep Learning Advanced

8.0/10

Years Exp

Data Pipelines Advanced

8.0/10

Years Exp

TensorFlow Advanced

8.0/10

Years Exp

Keras Advanced

8.0/10

Years Exp

SQL Intermediate

7.5/10

Years Exp

NLP Intermediate

7.5/10

Years Exp

Feature Engineering Intermediate

7.5/10

Years Exp

Tableau Intermediate

7.5/10

Years Exp

Git Intermediate

7.0/10

Years Exp

Exploratory data analysis Intermediate

7.0/10

Years Exp

scikit-learn Intermediate

7.0/10

Years Exp

Hyperparameter Optimization Intermediate

7.0/10

Years Exp

Model Evaluation Intermediate

7.0/10

Years Exp

Docker Intermediate

6.5/10

Years Exp

Experiment Tracking Data Cleaning Model Versioning NumPy Pandas Transfer Learning Image Classification Vision Transformers Document AI OCR Postgresql Claude C++ Statistical Modeling PyTorch Large Language Models LangChain LangGraph LlamaIndex Hugging Face Transformers Pinecone Prompt Engineering AI Agents Retrieval-Augmented Generation Semantic Search Attention Mechanisms LLM Evaluation FAISS

Work Experience

Software Engineering Intern - Data & Analytics

Viasat India

Feb 2026 - Apr 2026

Architected an extensible enterprise analytics platform integrating 5+ data sources, enabling scalable customer intelligence by designing modular Python data pipelines and reusable backend workflows. Improved customer prioritization accuracy through standardized scoring models, by engineering segmentation features, normalized metrics, and statistical ranking techniques to translate business requirements into actionable insights. Reduced reporting turnaround time from 3 days to under 1 hour, by developing interactive Tableau dashboards and scalable analytics pipelines for self-service business reporting. Reduced engineering effort for onboarding new analytical use cases by 45%, by building reusable pipeline components, standardized data transformations, and extensible data processing architecture.

Summer Research Intern - Two Higgs Doublet Model Exploration

IIT Gandhinagar

May 2024 - Jul 2024

Processed 25 high-dimensional datasets (500K+ records each) for particle physics simulations using data preprocessing, balancing techniques, and feature engineering on imbalanced datasets. Developed a regularized deep learning model using TensorFlow and Keras with dropout optimization, improving parameter prediction accuracy by 15% over unregularized architectures. Applied predictive modeling and statistical analysis techniques to support peer-reviewed research in computational particle physics. Authored research reports with statistical visualizations, contributing to peer-reviewed domain research in data-driven particle physics.