I’m looking for an AI/ML role where I can build and deploy NLP (RAG/LLMs) and computer-vision systems, ship prototypes and collaborate to deliver measurable improvements in accuracy and speed.
shriya gupta
@shriyagupta
AI/ML intern building NLP and computer-vision systems with measurable impact.
What I'm looking for
I’m an AI/ML-focused intern who enjoys turning messy real-world inputs into useful, automated outputs. I’ve worked across NLP/RAG, contract analytics, and computer vision—always with an eye on speed, accuracy, and practical deployment.
In my Infosys Springboard internship, I helped build an AI-powered contract compliance checker using LangChain, Hugging Face, and Streamlit, evaluating 50+ contracts against GDPR and HIPAA. I also streamlined data ingestion and regulatory retrieval via API integration (including Google Sheets), cutting manual compliance checks by 60%.
Across projects, I fine-tuned Mistral-7B with LoRA/QLoRA for contract review, reducing analysis time by 80%+ versus manual review, and deployed inference with FastAPI and ngrok. I also built an Automatic Number Plate Recognition system using YOLOv8, EasyOCR, and OpenCV, and developed analytics pipelines for trading sentiment using scikit-learn—bringing rigorous, data-driven thinking to every build.
Experience
Work history, roles, and key accomplishments
Mentee
Infosys Springboard
Jun 2026 - Present (1 month)
Selected for a competitive 12-week development program designed by Infosys. Built enterprise-ready skills in Artificial Intelligence, Python, ML and Cloud/DevOps ecosystems. Collaborated with a network of peers and received direct corporate mentorship from senior industry leaders, focusing on agile project execution, executive communication and business problem-solving.
Artificial Intelligence Intern
Infosys Springboard
Aug 2025 - Oct 2025 (2 months)
Collaborated with a 5+ member team to build an AI-powered contract compliance checker to evaluate 50+ contracts against GDPR and HIPAA. Streamlined data ingestion and regulatory retrieval via API integrations, reducing manual compliance checks by 60%, and built a Streamlit dashboard for result review.
AI-ML Intern
QSPEAR Consultancy Services
Jun 2025 - Jul 2025 (1 month)
Developed a Smart Health Risk Predictor using multiple ML models (Logistic Regression, XGBoost, Random Forest, KNN) to predict stroke risk and recommend health actions with 85%+ accuracy. Clustered users into 7 groups using K-Means and detected anomalies with KNN, integrating results into a Streamlit web app.
Education
Degrees, certifications, and relevant coursework
Guru Gobind Singh Indraprastha University
Bachelor of Technology, Information Technology
2022 - 2026
Grade: CGPA: 8.66
Activities and societies: Hackathon Competitor (SIH & DPBH)Two-time participant in the Smart India Hackathon (SIH) and participant in the Dark Pattern Busters Hackathon (DPBH).
Pursuing a Bachelor of Technology in Information Technology through Dr. Akhilesh Das Gupta Institute of Professional Studies affiliated to GGSIPU. Achieved a CGPA of 8.66 and SGPA of 10
Tech stack
Software and tools used professionally
Google Cloud Platform
GitHub
GitLab
GitHub Actions
Jupyter
NumPy
Pandas
MySQL WorkBench
DB
MySQL
MongoDB
Gmail
Node.js
Neo4j
EasyOCR
OpenCV
React
Vue.js
JavaScript
Python
HTML5
CSS 3
TensorFlow
PyTorch
scikit-learn
Streamlit
NLTK
FastAPI
Google Sheets
Microsoft Excel
GitHub Pages
TypeScript
GitHub CLI
Git
Docker
Amazon Web Services (AWS)
XGBoost
Hugging Face
LangChain
Pinecone
Groq
Ngrok
Faiss
Plate
Availability
Location
Authorized to work in
Social media
Job categories
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