Sharad Awasthi — DevOps Engineer
As an Engineer at Accenture, I specialize in AI-driven solutions, focusing on Generative AI, Prompt Engineering, and frameworks like LangChain. My expertise includes Data Analytics, Modeling, and Pipeline Development, leveraging technologies like Azure AI and RAG to transform data into actionable insights. With a strong research background, including three publications (one in IEEE Transactions on Vehicular Technology), I excel in cutting-edge AI methodologies like synthetic data generation and VAE-based super-resolution. Passionate about solving complex problems, I aim to bridge innovation with real-world applications.
Stackforce AI infers this person is a Machine Learning Engineer specializing in AI-driven solutions and data engineering.
Location: New Delhi, Delhi, India
Experience: 2 yrs 5 mos
Skills
- Data Engineering
- Backend Development
- Machine Learning
Career Highlights
- Expert in AI-driven solutions and Generative AI.
- Published research in IEEE Transactions on Vehicular Technology.
- Strong background in Data Engineering and Machine Learning.
Work Experience
LinkEye
Distributed Systems Engineer (1 yr)
Accenture
Machine Learning Engineer (1 yr 5 mos)
iHub-Data, IIIT Hyderabad
Research Intern (1 mo)
Delhi Technological University (Formerly DCE)
Machine Learning Research Intern (4 mos)
Centre for Artificial Intelligence & Robotics, DRDO
Research Trainee (1 mo)
Teenager Startups
Research Intern (2 mos)
Education
Bachelor of Technology - BTech at Delhi Technological University (Formerly DCE)
High School at St. Cecilia’s Public School
Middle School Diploma at pioneer kamal convent secondary school
