KshemaGPT: A Multi-Agent LLM for Agriculture & Enterprise AI
SVSLN Surya Suhas Vaddhiparthy, Gokulraj R, Rajesh Nani Dasari, et al. Technical Report on KshemaGPT: A Multi-Agent LLM for Agriculture & Enterprise AI. TechRxiv. July 28, 2025
CV
Education
- International Institute of Information Technology Hyderabad, India
Masters By Research in Computer Science; GPA: 8.33/10.0 (Aug 2021 - Jun 2024)
Courses: Statistical Methods in AI, Optimization Theory, Data Systems, Digital Image Processing, Behavioural Research. - Jawaharlal Nehru Technological University (ACEEC) Hyderabad, India
B.Tech in Electronics and Communication Engineering; GPA: 8.48/10 (First in class of 120) (Aug 2016 - Sept 2020)
Courses: Python Programming, R Programming, Database Management Systems, Digital Logic Design.
Research Interests
Large Language Models, Optimization, Edge Computing, Computer Vision, Deep Learning, Neural Networks, Anomaly Detection, Time Series Forecasting, Machine Learning, Vehicular Edge Computing, Cyber-Security, UAVs, Intelligent Systems, Data Platform Architecture, Energy-Aware Analysis, Advesarial Attacks, UAVs, Adaptive Networks, Cyber Physical Systems
Experience
- Data Scientist- Kshema General Insurance, Hyderabad (June 2024 - Present)
LLM Engineer: Working on finetuning and deploying a private multi-agent LLM micro-service system for answering customer queries.
Computer Vision: Designed a crop identification pipeline using RCNN, F-RCNN, and YOLOv9. - Research Assistant - Dr. Deepak Gangadharan, IIITH (Aug 2021 - June 2024)
UAV Network Security: Developed efficient security solutions for UAVs using Transformer Models and Networking.
Cloud Computing: Developed an optimization framework for efficient cloud resource allocation for multiple network entities.
Computer Vision on Edge: Designed a lightweight, superpixel algorithm for efficient lane detection in vehicles.
Teaching Assistant: Mentored over 1000 students on IoT, Security, and Networking. - IoT & Data Analytics Intern - NSE Talent Sprint, Hyderabad (Nov 2021 - Nov 2022)
Led a team of 8 in building classification and clustering pipelines, achieving 32% improvement in IoT and GPS data analysis.
Achieved 17% increase in sensor accuracy using LSTM and CNN neural networks. - Software & Data Engineer - Smart City Living Lab, Hyderabad (Sep 2020 - Aug 2021)
Data Engineer: Developed a custom ETL stack based on Kafka, Elastic Search, and Nginx, reducing data processing time by 23%.
DataWarehouse: Designed a multi-tenant data warehouse system with indexing to support efficient data retrieval. - Fault Reporting Intern - Keolis Hyderabad Metro Rail (KHMRTS), Hyderabad (July 2018 - Sep 2018)
Conducted failure analysis and identified potential network failures and security vulnerabilities in the Access Control and Intrusion Detection System.
Skills
- Languages: C, C++, Python, R, Matlab, SQL
- Databases: MySQL, Postgres, Redis, MongoDB, Chroma
- Tools and Frameworks: Pytorch, VScode, Pycharm
- Data Engineering: GCP, Azure, Nginx, Kafka, Docker
- Data Visualization: Tableau, Grafana, matplotlib, seaborn, ggplot2
- Data Science: Preprocessing, Data Wrangling, Exploratory Data Analysis, Statistics
- Machine Learning: Regression, Classification, Clustering, Time Series, Dimensionality Reduction
- Deep Learning: LSTM, CNN, Encoder-Decoders, Transformers (Hugging Face), Fine-tuning
- Computer Vision: OpenCV, Image Classification, Object Detection, Semantic Segmentation, Instance Segmentation
- Natural Language Processing: Text and Document Processing, Stemming, Lemmatization, POS Tagging, Named Entity Recognition, Sentiment Analysis, Summarization, Fine-tuning
- Generative AI (LLMs): Multimodal Document Processing, Prompt Engineering, Query Pre-processing, Retrieval Augmented Generation (RAG), Multi-Agent LLMs, Chain of Thought (CoT), ReACT Prompting, LoRA Fine-tuning
Publications
Towards energy-aware operational decisions for automated guided vehicles: A review
KyuJin Kyung, GaHyun Lee, SeongJae Chu, Joseph John Cherukara, SVSLN Surya Suhas Vaddhiparthy, Tanniru Abhinav Siddharth, Deepak Gangadharan, BaekGyu Kim. "Towards energy-aware operational decisions for automated guided vehicles: A review" ITU Journal on Future and Evolving Technologies, Volume 6 (2025), Issue 2, Pages 132-148
S2P: Two-Stage Superpixel Algorithm for Enhanced Lane Detection on Resource Constraint Edges
P Rhuthik, SVSLN Surya Suhas Vaddhiparthy, Pranav Kannan, Deepak Gangadharan. "S2P: Two-Stage Superpixel Algorithm for Enhanced Lane Detection on Resource Constraint Edges" 2024 IEEE 14th International Symposium on Industrial Embedded Systems (SIES)
Over the Horizon of Connected Vehicles: Advancing Security, Reliability, and Cost-Efficiency through Vehicular Edge Computing
Vaddhiparthy, SVSLN Surya Suhas. "Over the Horizon of Connected Vehicles: Advancing Security, Reliability, and Cost-Efficiency through Vehicular Edge Computing." PhD diss., International Institute of Information Technology Hyderabad, 2024.
Attention Meets UAVs: A Comprehensive Evaluation of DDoS Detection in Low-Cost UAVs
Sharma, Ashish, SVSLN Surya Suhas Vaddhiparthy, Sai Usha Goparaju, Deepak Gangadharan, and Harikumar Kandath. "Attention Meets UAVs: A Comprehensive Evaluation of DDoS Detection in Low-Cost UAVs." arXiv preprint arXiv:2406.19881 (2024).
Technical Report: Attention Meets UAVs: A Comprehensive Evaluation of DDoS Detection in Low-Cost UAVs
Sharma, Ashish, SVSLN Surya Suhas Vaddhiparthy, Sai Usha Goparaju, Deepak Gangadharan, and Harikumar Kandath. "Attention Meets UAVs: A Comprehensive Evaluation of DDoS Detection in Low-Cost UAVs." arXiv preprint arXiv:2406.19881 (2024).
Technical Report: Dynamic Data Delivery Framework for Connected Vehicles via Edge Nodes with Variable Routes
Cherukara, Joseph John, SVSLN Surya Suhas Vaddhiparthy, Deepak Gangadharan, and BaekGyu Kim. "Dynamic Data Delivery Framework for Connected Vehicles via Edge Nodes with Variable Routes." In 2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall), pp. 1-7. IEEE, 2023.
Scalable and Interoperable Distributed Architecture for IoT in Smart Cities
Pranavasri, V. J. S., Leo Francis, Ushasri Mogadali, Gaurav Pal, SVSLN Surya Suhas Vaddhiparthy, Anuradha Vattem, Karthik Vaidhyanathan, and Deepak Gangadharan. "Scalable and Interoperable Distributed Architecture for IoT in Smart Cities." In 2023 IEEE 9th World Forum on Internet of Things (WF-IoT), pp. 01-06. IEEE, 2023.
Collision-Aware Data Delivery Framework for Connected Vehicles via Edges
Vaddhiparthy, Svsln Surya Suhas, Joseph John Cherukara, Deepak Gangadharan, and BaekGyu Kim. "Collision-Aware Data Delivery Framework for Connected Vehicles via Edges." In 2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall), pp. 1-7. IEEE, 2023.
Dynamic Data Delivery Framework for Connected Vehicles via Edge Nodes with Variable Routes
Cherukara, Joseph John, SVSLN Surya Suhas Vaddhiparthy, Deepak Gangadharan, and BaekGyu Kim. "Dynamic Data Delivery Framework for Connected Vehicles via Edge Nodes with Variable Routes." In 2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall), pp. 1-7. IEEE, 2023.
A Comprehensive Evaluation on the Impact of Various Spoofing Scenarios on GPS Sensors in a Low-Cost UAV
Vaddhiparthy, SVSLN Surya Suhas, Garapati Sreya, Prudhvi Raj Turlapati, Deepak Gangadharan, and Harikumar Kandath. "A Comprehensive Evaluation on the Impact of Various Spoofing Scenarios on GPS Sensors in a Low-Cost UAV." In 2023 IEEE 19th International Conference on Automation Science and Engineering (CASE), pp. 1-6. IEEE, 2023.'
A Multi Layer Data Platform Architecture for Smart Cities using oneM2M and IUDX
Mante, Shubham, SVSLN Surya Suhas Vaddhiparthy, Muppala Ruthwik, Deepak Gangadharan, Aftab M. Hussain, and Anuradha Vattem. "A multi layer data platform architecture for smart cities using onem2m and iudx." In 2022 IEEE 8th World Forum on Internet of Things (WF-IoT), pp. 1-6. IEEE, 2022.
Design of an IoT system for machine learning calibrated TDS measurement in Smart Campus
Goparaju, Sai Usha Nagasri, SVSLN Surya Suhas Vaddhiparthy, C. Pradeep, Anuradha Vattem, and Deepak Gangadharan. "Design of an IoT system for machine learning calibrated TDS measurement in smart campus." In 2021 IEEE 7th World Forum on Internet of Things (WF-IoT), pp. 877-882. IEEE, 2021.
Teaching
Achievements
- Received best student paper award.
- Received gold medal for highest GPA.
- IoT Workshop Winner, IIT Bombay, India.
- Awarded \$1M KRW in KETI Hackathon, South Korea.
- Ranked first among 120 students in my Undergraduate batch.
Outreach
NPTEL - Arduino Programming Lecture for IISC-India
Talk at Indian Institute of Sciences (IISC), Bangalore, India
Teaching Assistance for Research Teaser Internship
Talk at Conduira Online Platform, Remote, India
Volunteering Activies
- Worked as class representative during undergraduate.
- Conducted technical workshops during undergraduate.
- Mentored quizzes, semester exams for IIIT H undergraduate students.
Professional Services
- Peer-reviewed papers in WF-IoT 2021, and Pattern Recognition Journal
- Special Session Reviewer in IEEE CASE 2024
- Sub Reviewer in IEEE ANTS 2023
- Sub Reviewer in IEEE INDICON 2023