I’m looking for a role where I can build real-world AI/data products building data pipelines, experiments, and evaluation while collaborating with engineers who value explainability, measurable impact and clean deployment.
Hrishikesh Dhuri
@hrishikeshdhuri
AI & data science intern building multimodal RAG and predictive systems with real-world pipelines.
What I'm looking for
I’m an AI and data science student focused on turning messy data into reliable, user-friendly products. I build with an “AI that explains itself” mindset—whether that’s a chat-style multimodal RAG medical assistant (MedRAG) or a transformer-based language model I trained and evaluated (Mini-GPT).
In internships, I shipped practical systems end-to-end: optimized data ingestion for algo trading on AWS, automated FYERS API authentication for live retrieval, and improved LSTM model accuracy to 92.4%. I’ve also developed dynamic web crawlers, cleaned EV datasets for visualization, led hackathon teams to 2nd place finishes, and proposed EffiRes-BT for brain tumor classification with 98.78% accuracy.
Experience
Work history, roles, and key accomplishments
Web Scraping Intern
VoltHop
Mar 2025 - Apr 2025 (1 month)
Designed advanced web crawlers and dynamic content scrapers to collect electric-vehicle data, including EV charging listings, OEM incentives, and policy information. Cleaned and preprocessed heterogeneous datasets and performed exploratory data analysis to identify regional patterns in EV infrastructure and policy implementation across India.
AlgoTrading Intern
CleverBharat
Nov 2024 - Jan 2025 (2 months)
Optimized ingestion and storage of FYERS live and NSE stock data by preprocessing and saving to Parquet on EC2, reducing storage overhead by 40% and improving read speeds by 60%. Built an automated FYERS API login/auth workflow and an AWS pipeline (EC2, S3, SageMaker) to combine historical and live data, improving LSTM model accuracy to 92.4%.
Education
Degrees, certifications, and relevant coursework
Thadomal Shahani Engineering College
B.Tech in Artificial Intelligence and Data Science, Artificial Intelligence and Data Science
2022 - 2026
Grade: 8.94/10.0
Activities and societies: Senior Core Team Member, Google Developer Group TSEC; Certifications: Supervised Machine Learning: Regression and Classification (Coursera) and Advanced Learning Algorithms (Coursera); LeetCode rating 1550, contest ranking 2190.
Pursuing a B.Tech in Artificial Intelligence and Data Science at Thadomal Shahani Engineering College from Nov 2022 to June 2026, maintaining a GPA of 8.94/10.0.
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