About
Highly analytical B.Tech Computer Science student with a strong foundation in AI/ML, deep learning, and full-stack development, currently excelling as an AI Product Management Intern. Proven ability to drive significant product enhancements, optimize AI-driven systems for lead generation and customer satisfaction, and develop innovative solutions, as demonstrated by boosting lead identification accuracy from 40% to 75% and increasing customer satisfaction by 50%. Eager to leverage expertise in Python, machine learning, and data analysis to contribute to cutting-edge technology and product innovation.
Work
Gurugram, Haryana, India
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Summary
Spearheaded AI-driven product enhancements and collaborated on innovative solutions to improve operational efficiency and revenue growth for a travel technology company.
Highlights
Spearheaded performance enhancements of an AI-driven voice call bot and fine-tuned LLM prompts, boosting qualified lead identification accuracy from 40% to 75% and reducing the need for manual pre-seller intervention.
Improved AI Instagram DM bot's performance, increasing customer satisfaction rate from 20% to approximately 50% through strategic optimization and feature implementation.
Collaborated on the end-to-end development of an AI-powered travel itinerary builder for the company's new website, enabling real-time, budget-based trip planning.
Implemented automated customer support features within the itinerary builder, directly contributing to a 5% increase in company revenue.
Remote, India
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Summary
Engineered and localized a Retrieval-Augmented Generation pipeline to enhance AI teaching assistant accuracy and accessibility.
Highlights
Engineered a Retrieval-Augmented Generation (RAG) pipeline, leveraging OpenAI embedding models and FAISS vector store, significantly improving AI teaching assistant's contextual accuracy by 30% (measured by BLEU score).
Localized the AI assistant for a regional language, enhancing accessibility for diverse educational use cases and expanding user reach.
Developed robust data processing and integration strategies for PDFMiner, ensuring efficient extraction and utilization of unstructured text data within the RAG pipeline.
Utilized Langchain framework to streamline the development and deployment of LLM-powered applications, accelerating project timelines.
Jodhpur, Rajasthan, India
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Summary
Conducted research and developed a machine learning system for early lung cancer detection using sensor data and IoT.
Highlights
Collected and meticulously processed sensor data from 1000+ samples from Organic Electrochemical Transistor (OECT)-based devices to build a comprehensive dataset for predicting potential cancer infections in biological samples.
Applied advanced Multinomial Logistic Regression for multi-class classification, achieving a high prediction accuracy of up to 98% in complex cancer detection tasks.
Designed and implemented the system using a combination of Machine Learning and IoT technologies, demonstrating expertise in interdisciplinary research and application.
Contributed to a critical public health initiative by developing a predictive model that could aid in early disease detection, showcasing problem-solving skills in a high-impact domain.
Education
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B.Tech
Computer Sciences
Grade: 7.21 CGPA
Courses
Data Structures & Algorithms
Operating Systems
Database Management System
Machine Learning
Computer Architecture
Deep Learning
Probability and Statistics
Design and Analysis of Experiments
Linear Algebra
Calculus
Awards
Academic Excellence - Data Structures
Awarded By
Indian Institute of Technology Jodhpur
Ranked in the top 2% with an A grade in Data Structures, demonstrating strong foundational computer science knowledge.
JEE 2021 - Top 1% Rank
Awarded By
Joint Entrance Examination (JEE)
Secured a rank in the top 1% among 10 lakh+ candidates in the highly competitive JEE 2021 examination.
XII Boards - 1st Position, Kanpur City
Awarded By
CBSE
Secured 1st position in Kanpur city with 97.8% marks in the XII Boards examination.
IMO Olympiad Qualifier
Awarded By
International Mathematical Olympiad (IMO)
Qualified Level 1 and Level 2 International Mathematical Olympiad (IMO) exams multiple times, demonstrating exceptional mathematical aptitude during school years.
Languages
English
Hindi
Skills
Programming Languages
C/C++, Python, JAVA, SQL, HTML, CSS.
Machine Learning Libraries
Pandas, Seaborn, NumPy, TensorFlow, Scikit-learn, NLTK, PyTorch, Pandas-profiling, openCV, Matplotlib.
Databases & Tools
MySQL, Microsoft SQL Server, Tableau, Git, Figma, Flask, MongoDB Compass, Excel, Jira, Notion.
Machine Learning Algorithms
Linear & Logistic Regression, Support Vector Machines, Decision Trees, Neural Networks, Boosting and Bagging.
Mathematics
Probability and Statistics, Design and Analysis of Experiments, Linear Algebra, Calculus.
Computer Science Fundamentals
Data Structures & Algorithms, Operating Systems, Database Management System, Machine Learning, Computer Architecture, Deep Learning.