sreevalli manda
@sreevallimanda
AI/ML engineer with expertise in Generative AI and automation.
What I'm looking for
I am a seasoned AI/ML engineer with 6 years of experience, including 4 years dedicated to the development of AI solutions. My expertise lies in Generative AI, Machine Learning, and Avionics Software Verification. I have a proven track record of designing, developing, and deploying scalable AI solutions that enhance operational efficiency and drive innovation.
Throughout my career, I have successfully developed and fine-tuned various AI models, including BERT-based spam detection and Named Entity Recognition systems. My work on creating a RAG-powered chatbot API and an interactive Streamlit app for SQL query generation showcases my ability to bridge the gap between complex technology and user accessibility. I am passionate about leveraging AI to solve real-world problems and improve data accessibility for non-technical users.
My experience in avionics software verification has equipped me with a strong foundation in compliance and testing standards, ensuring that the solutions I develop are not only innovative but also reliable and effective. I am eager to continue pushing the boundaries of AI technology and contribute to projects that make a meaningful impact.
Experience
Work history, roles, and key accomplishments
Senior Engineer
eInfochips
Jun 2023 - Sep 2024 (1 year 3 months)
Led the development of a scalable RAG-powered chatbot API and designed an Agentic AI framework for intelligent data retrieval and autonomous task execution, enhancing project outputs through best practices in prompt formulation.
Software Engineer
Cyient
Apr 2021 - Jun 2023 (2 years 2 months)
Developed and fine-tuned AI models for spam detection and Named Entity Recognition, utilizing MLflow and DVC for tracking and versioning, and created an interactive web application for SQL query conversion using OpenAI's GPT models.
Project Assistant-II
Aeronautical Development Agency
Oct 2020 - Jan 2022 (1 year 3 months)
Developed machine learning models for radar signal classification and aircraft fuel consumption estimation, achieving over 90% accuracy in threat detection and ensuring reproducibility through MLflow and DVC.
Project Assistant-I
Aeronautical Development Agency
May 2018 - Oct 2020 (2 years 5 months)
Conducted verification and validation of RADAR Warning Receiver software in compliance with DO178B standards, including functional testing and test case execution.
Education
Degrees, certifications, and relevant coursework
Nalanda Institute of Engineering And Technology
Bachelor of Technology, Electronics and Communication Engineering
Completed a Bachelor of Technology in Electronics and Communication Engineering, gaining foundational knowledge in electronic systems and communication technologies.
National Institute of Technology
Master of Technology, Signal and Image Processing
Pursued a Master of Technology in Signal and Image Processing, focusing on advanced techniques in processing and analyzing signals and images.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
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