About rakshitha
Hello! I'm Rakshitha M, an experienced AI Engineer with a passion for deep learning, data science, NLP, and generative AI. Currently, I develop advanced AI solutions at Tech Profuse, focusing on innovative products like AI-driven communication tools and customized chatbots. My journey includes impactful experiences at Biocliq Technologies and Samsung, where I honed my skills in implementing cutting-edge deep learning models and deploying AI solutions for text classification and medical imaging analysis. I excel at leveraging technologies like TensorFlow, Keras, and PyTorch to solve complex problems and derive actionable insights from data. With a strong foundation in data structures, algorithms, and machine learning, I bring technical expertise and innovative thinking to every project. I'm eager to collaborate on impactful initiatives and am open to exploring opportunities in AI, machine learning, deep learning, data science, and analytics to continue growing and contributing to cutting-edge teams.
Key Skills
Experience
Ai Engineer
CurrentMouri Tech
Ai Engineer
Tech Profuse Pvt Ltd
Implemented a Sales AI system using CrewAI, LangChain, and the Gemini model to build agents that send personalized emails to clients about products. Enhanced client engagement and lead conversion by developing reply agents with in-depth product knowledge to respond to client queries and assist in scheduling meetings. Developed an OCR solution utilizing Google's OCR technology to convert TIFF files into PDF format, streamlining the conversion of bills into readable and manageable files. Improved organizational efficiency in handling financial documents by automating and simplifying the billing process. Collaborated with a team to develop a Voice AI Assistant using Twilio telephony, integrating real-time OpenAI APIs alongside Pinecone-indexed RAG agent for dynamic knowledge retrieval, achieving 92% task completion rate with <1.2s median response time. Engineered a RAG-based chatbot leveraging Gemini for language understanding alongside Pinecone for vector storage, implementing a data pipeline to crawl and vectorize internal content for semantic search, successfully launched on the company website via a GWS instance.
Deep Learning Intern
Biocliq Technologies
Implemented a 3D lung segmentation model using nnU-Net to classify lung regions as left lung, right lung, or trachea. Achieved a 97% accuracy, demonstrating advanced skills in medical image segmentation and deep learning. Developed a 3D liver delineation model using nnU-Net to identify different liver segments from NIfTI files. Involved detailed analysis to understand various liver parts for tumor detection, resulting in a 98% accuracy. Designed and trained a custom CNN for classifying kidney stones as either inside or outside the urethra. Extracted features from the CNN and trained a decision tree classifier, achieving a 90% accuracy.
Education
Ramaiah Institute Of Technology
Bachelor Of Technology
Base Pu College
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Common Questions
What is rakshitha's expertise?
rakshitha specializes in AI Engineer, with expertise in ai agents, api documentation, artificial intelligence, attention to detail, computer vision.
Where is rakshitha located?
rakshitha is based in bangalore, karnataka, india.
How much experience does rakshitha have?
rakshitha has 3+ years of professional experience.
How can I contact rakshitha?
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