---
title: "Rohit Gupta - Software Engineering Intern — Data Analytics in Bengaluru | Tal"
description: "Meet Rohit Gupta, Ex-Viasat, Ex-IIT Gandhinagar | AI Engineer | Data Analyst | Python · TensorFlow · LangChain · RAG/LLM Systems | IEEE Published | Open to Work based in Bengaluru. AI stack includes claude, grok, and hugging face. Explore public work links including github and medium."
image: "https://tal.club/meet/rohit-gupta-9/share-image"
---

# Rohit Gupta on Tal

## Headline

Ex\-Viasat, Ex\-IIT Gandhinagar \| AI Engineer \| Data Analyst \| Python · TensorFlow · LangChain · RAG/LLM Systems \| IEEE Published \| Open to Work

## About

AI/ML Engineer \| Generative AI \| LLMs \| RAG \| AI Agents \| Applied AI I’m an AI/ML Engineer focused on building AI systems that solve real problems—not just demonstrating what a model can do\. I enjoy understanding ambiguous problems, breaking them down, choosing the right combination of models, data, retrieval, tools, and engineering, and turning ideas into useful systems\. My work sits at the intersection of AI and software engineering\. I work with Python, Machine Learning, Deep Learning, LLMs, Generative AI, RAG, AI Agents, LangChain, LangGraph, FastAPI, SQL, PostgreSQL/pgvector, vector search, and Docker\. I’m particularly interested in agentic workflows, tool\-using systems, AI backends, knowledge\-intensive applications, and reliable LLM systems with appropriate guardrails and failure handling\. At Viasat India, I worked as a Software Engineering Intern in Data & Analytics, working with data from multiple sources, feature engineering, normalization, ranking and scoring, customer segmentation and prioritization, and Tableau analytics\. At IIT Gandhinagar, I worked on machine learning for particle\-physics research using large scientific datasets, neural networks, and XGBoost\. I also have research experience in computer vision, with my attention\-based deep learning work for COVID\-19 CT classification published through IEEE\. I’ve also built practical AI applications including multi\-agent analytics systems, RAG applications, AI assistants, and multilingual AI workflows\. I enjoy designing systems where LLMs work as part of a larger pipeline involving retrieval, tools, APIs, databases, validation, and controlled decision\-making\. Beyond technical skills, I bring a problem\-solving mindset\. I like understanding the problem before choosing the technology, working through ambiguity, debugging systematically, considering edge cases, and learning whatever is needed to solve the problem\. I’m comfortable working across AI, data, backend, and product\-oriented challenges\. I’m particularly interested in AI\-native products, GenAI, LLM/RAG systems, agentic AI, applied ML, AI backend engineering, and data\-driven products\. I’m looking for opportunities where I can take ownership, contribute technically, and help turn AI capabilities into reliable, production\-oriented solutions\. Open to opportunities and relocation depending on the role and location\.

## Location

Bengaluru

## AI stack

claude

grok

hugging face

langchain

langgraph

openai

## Work experience

Software Engineering Intern — Data Analytics at Viasat, Feb 2026 \- Apr 2026 · 2 mo, Chennai, Tamil Nadu, India, Worked as a Software Engineering Intern within the Data & Analytics team, developing data\-driven solutions that transformed complex customer data into actionable business insights\. Designed and implemented an end\-to\-end analytics pipeline to integrate data from multiple sources into a unified, analysis\-ready dataset, significantly reducing manual data preparation efforts\. Developed customer segmentation, scoring, and ranking models using feature engineering and normalized metrics to identify high\-value accounts and support targeted business strategies\. Built interactive Tableau dashboards that enabled stakeholders to perform self\-service analytics, accelerating decision\-making and improving operational efficiency\. Key Contributions • Built an end\-to\-end analytics pipeline integrating data from multiple sources\. • Developed customer segmentation, scoring, and ranking models using Python\. • Applied feature engineering and data preprocessing techniques to improve analytical accuracy\. • Created interactive Tableau dashboards for business intelligence and stakeholder reporting\. • Automated data preparation workflows to reduce manual effort\. • Collaborated with cross\-functional teams to deliver data\-driven business solutions\. Technologies: Python, SQL, Pandas, Tableau, Data Analytics, Feature Engineering, Business Intelligence

Machine Learning Research Intern — Two\-Higgs\-Doublet Model \(2HDM\) Exploration at Indian Institute of Technology Gandhinagar, May 2024 \- Jul 2024 · 3 mos, Ahmedabad, Gujarat, India, Project: Two Higgs Doublet Model \(2HDM\) Exploration Job Description Conducted machine learning research focused on applying deep learning techniques to particle physics parameter constraint prediction\. Processed and analyzed high\-dimensional scientific datasets containing over 500,000 records each, applying data preprocessing, balancing, and feature engineering techniques to improve model performance\. Designed and trained neural network models with regularization and dropout, achieving a 15% improvement in prediction accuracy over baseline approaches\. Produced statistical analyses and research visualizations that contributed to scientific understanding and supported data\-driven research outcomes\. Key Contributions • Processed and analyzed 25 high\-dimensional scientific datasets \(500K\+ rows each\)\. • Performed feature engineering and data balancing on large\-scale datasets\. • Designed and optimized deep neural networks using regularization and dropout\. • Improved prediction accuracy by 15% compared to baseline models\. • Created statistical visualizations and research reports for scientific analysis\. • Applied machine learning techniques to computational physics research\. Technologies: Python, TensorFlow, Machine Learning, Deep Learning, Neural Networks, NumPy, Pandas, Matplotlib, Data Visualization, Scientific Computing

## Education

Computer science and engineering, Computer Software Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar

Secondary School, Science, St\. Xavier's Secondary School

## Public links

- github: https://github\.com/Rohit991371
- medium: https://medium\.com/@rohit\.gupta1604004

[View the original profile](https://tal.club/meet/rohit-gupta-9)

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