Available for Innovative Projects

Building Intelligent AI Solutions

Machine Learning

Advanced AI Models

98.4% Accuracy

Medical AI Systems

IIT Winner

₹7.5L Grant Awarded

15+
AI/ML Projects Delivered
₹7.5L
Hackathon Grant Won
98%
Model Accuracy Achieved
5+
Technical Certifications

Transforming Ideas into
Intelligent Solutions

Data Science Intern at Sriya.AI with expertise in building production-ready AI systems. Winner of IIT Madras Road Safety Hackathon, passionate about leveraging machine learning to solve real-world challenges.

Featured AI Projects

Cutting-edge machine learning and deep learning solutions across healthcare, computer vision, NLP, and IoT domains

Technical Arsenal

Comprehensive skill set spanning AI/ML frameworks, cloud technologies, and full-stack development

Professional Journey

Building production-ready AI systems (SaaS, On-Premises) and delivering innovative solutions across multiple domains

Data Science Intern

Sriya.AI • 2024 - Present

  • Engineered and deployed Jaya Agent, a multi-tool LLM agent using LangChain, and PyTorch
  • Reduced hallucination rates in AI inference pipelines for finance and healthcare applications
  • Implemented production-ready Agentic systems with focus on scalability and performance optimization
  • Collaborated with cross-functional teams to deliver enterprise-grade AI solutions

AI/ML Consultant & Prompt Engineer

Freelance • 2024 - Present

  • Provided consulting on backend/frontend development and data science project architecture
  • Designed robust AI system architectures for diverse business use cases
  • Executed advanced prompt engineering for complex AI applications and LLM systems
  • Delivered end-to-end ML solutions from data preprocessing to model deployment

Research Intern

NITW AI Research Lab • 2024

  • Developed a data acquisition system for sEMG signals and built an LSTM model, achieving 67% accuracy in detecting lower limb abnormalities.
  • Developed a pneumonia detection system using MobileNet-V3 with transfer learning, achieving 94% accuracy in classifying chest X-rays.
  • Implemented Grad-CAM for model interpretability, improving AI-driven medical diagnostics and decision-making transparency

Hackathon Winner

IIT Madras Road Safety Hackathon • 2024

  • Secured first place with innovative IoT-based rash driving detection system
  • Awarded ₹7.5 lakh grant for project development and implementation
  • Designed real-time monitoring solution using ESP32 and advanced sensor integration
  • Demonstrated practical application of AI/ML in transportation safety

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