About
I am Bagadi Lasya Priya, currently in my final year of pursuing B.Tech at the Indian Institute of Information Technology, Kottayam. I am a technology enthusiast and I always stay curious about new technology. While persuing my B.Tech program at IIIT Kottayam, I acquired a comprehensive understanding of Computer Science , developing a strong foundation in fields like Machine Learning, Deep Learning, NLP, Full stack development and Cloud development.
- Birthday: 14 March 2005
- Age: 20
- Phone: +91 8639086347
- Email ID: lasyapriya4594@gmail.com
- Degree: B.Tech
- City: Kakinada, Andhra Pradesh
- Country: India
Research & Publications
- Research Title: An Ensemble of Linear and ElasticNet Models for Accurate Stock Price Prediction
- Accepted By: 5th International Conference on Paradigms of Communication, Computing, and Data Analytics (PCCDA 2025)
- Accepted Into: Springer Book Series
- View Presentation Certificate
Skills
Resume
Summary
Bagadi Lasya Priya
Student at Indian Institute of Information Technology, Kottayam
- Kakinada, Andhra Pradesh, India
- (+91) 8639086347
- lasyapriya4594@gmail.com
Education
Bachelor of Technology
2022 - 2026
Indian Institute of Information Technology, Kottayam
CGPA: 8.96
IIIT Kottayam is an Institute of National Importance which imparts top-notch technological education at the undergraduate, post graduate and doctoral levels and currently occupies the leading position as a highly sought-after destination for students inclined to indulge in the intricacies of Computer Science and allied fields.
Higher Secondary School Certificate (HSC)
2020 - 2022
Lakshya International School
Lakshya is a comprehensive school with an inspiring and dynamic curriculum that would help students to realize their full potential, encourage them to pursue new interests and equip them with the skills required for success.
Internships
Machine Learning Intern
July 2025 - Present
Eligarf Technologies
- At Eligarf, I’m working on Generative AI and Agentic AI solutions, focusing on an advanced astrology chatbot with intelligent query routing, kundli-based context retrieval, and scalable deployment. My work spans LLM optimization, RAG pipelines, and ensuring high-accuracy domain-specific responses.
Machine Learning Engineer Intern
May 2025 - July 2025
Factset Research
- At FactSet, I developed a Text-to-Formula system converting natural language financial queries into precise formulas. Built an end-to-end pipeline from fine-tuning and LoRA weight merging to checkpoint selection and deployment for high-accuracy production use.
Full Stack Development Intern
May 2024 - July 2024
Psquare Technologies LLC, Naperville, Illinois, USA
- At PSquare, I developed a Latecomers Tracking Portal for the college, digitizing records and enabling real-time monitoring with automated reports for administrators.
Certifications
- Awarded the AWS Certified Cloud Practioner certification from Amazon Web services.
- Awarded the Wipro Digital Skills Readiness Program Course Completion Certificate for successful completion of the TalentNext course on Java J2EE, showcasing proficiency in advanced Java programming and enterprise applications development.
- Successfully completed the Machine Learning Certification from Stanford Online, gaining comprehensive knowledge of machine learning concepts, including Supervised Learning, Advanced Learning Algorithms, Unsupervised Learning, Recommenders and Reinforcement Learning.
- Successfully completed the TensorFlow Certification from DeepLearning.AI, gaining comprehensive knowledge of deep learning concepts, including Convolution Neural Networks, Natural Language Processing, Sequences, Time series and Prediction.
- Successfully earned the Cisco Certification in Programming Essentials in Python, demonstrating proficiency in Python programming concepts, including data types, control structures, functions, and error handling.
- Successfully achieved the Oracle Cloud Infrastructure (OCI) 2023 Certified Foundations Associate certification, demonstrating expertise in fundamental cloud computing concepts and the ability to work effectively with Oracle Cloud Infrastructure services.
Projects
Stock Market Prediction using Stacked LSTM
Developed a stock market prediction system using a Stacked Long Short-Term Memory (LSTM)
model to forecast stock prices with improved accuracy.
The project leverages the LSTM to capture temporal patterns and
dependencies in financial time-series data for informed decision-making
in the stock market.
GitHub Link
Plant Disease Identification using Convolution Neural Networks
Designed and implemented a Plant Disease Identification system using CNNs
to accurately detect and classify various plant diseases from images.
This project utilizes advanced image processing techniques and machine learning to assist farmers and
agriculturists in early disease diagnosis, improving crop health and yield.
GitHub Link
Movie Recommendation System using Text Vectorization
Developed a highly robust content-based Movie Recommendation System using text vectorization
techniques to analyze and compare crucial movie descriptions.
The system efficiently retrieves the top five most relevant movies based on user preferences,
significantly enhancing the overall movie discovery experience.
GitHub Link
ADC Latecomers
Developed a comprehensive platform to track latecomers for the renowned institution, Aditya Degree Colleges, Kakinada.
The system streamlines attendance management by automating the tracking process, ensuring efficiency and accuracy.
This platform is successfully deployed and actively in use at the institution.
Click to open the Latecomers Portal
CampusBite
Developed a digital ordering platform with a scalable backend and clean architecture, reducing manual operations by 40%
and serving 500+ daily users. Integrated GenAI-driven UI generation and automated test creation to speed up development and ensure
high reliability.
GitHub link
PathPilot
Developed a Tourist Helper application using Django for the backend and Flutter for the frontend.
Offered intelligent location-based suggestions to help tourists plan trips efficiently, showcasing strong full-stack skills by
integrating backend and mobile interfaces for enhanced user experience.
Deployed to Google Play Store as PathPilot.
More About Me
Sports Achievements
Represented Andhra Pradesh in the national level tennis tournament(AITA).
Represented East Godavari district in the state level tennis tournament and secured third position.
Serving as the Table Tennis Lead, I manage training, team coordination, and event organization to boost performance and engagement.
Won a silver medal in women’s singles table tennis tournament in the intra sport tournament conducted by IIIT Kottayam.
Won a bronze medal in women’s doubles table tennis tournament in the intra sport tournament conducted by IIIT Kottayam.