About
Profile Summary
Full-stack developer with experience in AI/ML, LLM integration, and cloud-based application deployment. Proficient in Python, Java, C, and OS fundamentals with a strong academic background in AI and Data Science.
Passionate about building intelligent systems that solve real-world problems. Currently working on cutting-edge AI solutions and autonomous systems.
Education
B.Tech in Artificial Intelligence and Data Sciences
KL University Hyderabad
Aug. 2022 β May 2026 β’ GPA: 9.38
Board of Intermediate Education
Sri Chaitanya Junior College
Aug. 2020 β May 2022 β’ 91.9%
Board of Secondary Education
Sri Chaitanya School SP Nagar
Aug. 2019 β June 2020 β’ GPA: 10.0
Skills
Languages
Core programming languages for development and data manipulation
AI/ML Tools
Specialized tools and models for AI/ML development and deployment
Frameworks
Development frameworks for building scalable applications
Cloud & DevOps
Cloud services, containerization, and API development
IDEs & Tools
Development environments and version control
Experience
Data Science Intern
PiResearch Labs
- βΉDesigned and implemented the complete database schema serving as the backbone for company-wide operations, ensuring scalability, reliability, and compliance with industry standards
- βΉBuilt and optimized REST API endpoints to support core application workflows and improve system performance
- βΉDeveloped scripts and workflows to automate reconciliation tasks, automatic merchant background check reducing manual effort and increasing operational efficiency
Contractor - Agentic AI
Hexagon R&D India
- βΉConceptualized and developed an Agentic AI prototype with autonomous root cause analysis for databases, improving HxGN NetWorks issue resolution speed by 25% and cutting average resolution time by 40%
- βΉDesigned AI agents using Azure OpenAI models with MagenticOne to autonomously analyze database and service logs, reducing resolution time by 40%; benchmarked against state-of-the-art Agentic frameworks like AutoGen, and CrewAI
- βΉConducted extensive experimentation with REST APIs and Ollama models, improving system scalability by 20% and reducing cloud computing costs compared to generic GPT-based solutions
AI Intern
Arthink.ai
- βΉDeveloped and deployed regression models on NASA CMAPSS dataset for predicting engine Remaining Useful Life (RUL), achieving 86.24% accuracy using TensorFlow-based architectures
- βΉEngineered a full-stack Flask application integrating predictive ML models, clustering techniques, Granger Causality for anomaly detection, and Langchain-based LLM agents, resulting in a production-ready AI monitoring tool
- βΉFine-tuned GPT-2 using Hugging Face Transformers and LoRA on domain-specific text data, boosting downstream NLP task performance by 30% compared to baseline pre-trained models
Projects
Publications
Enhancing Remaining Useful Life Prediction
A Comparative Study of Classical Machine Learning and Generative AI
Springer CCIS Series β’ ThinkAI'24 Conference
Certifications
AWS Certified Cloud Practitioner
Amazon Web Services (AWS)
π Issued: Dec 2025
β°Expires: Dec 2028
π ID: bd40fb4be29e4f4b...
Salesforce Certified Agentforce Specialist
Salesforce
π Issued: Dec 2025
π ID: 7211045
Microsoft Certified: Azure Fundamentals
Microsoft
π Issued: Jul 2025
π ID: 6AC6F1A92FF0E07C
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β Available for Opportunities
Open to full-time positions, freelance projects, and collaboration opportunities in AI/ML, full-stack development, and cloud technologies.