Harshita Srivastava
Mumbai, Maharashtra,India
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Harshita Srivastava is a dedicated and results-oriented Software Engineer with over eight years of comprehensive experience in designing, developing, and deploying scalable software solutions. She possesses strong expertise in full-stack development, cloud computing platforms (like AWS or Azure), and microservices architecture. Harshita is passionate about leveraging technology to solve complex problems and has a proven track record of contributing to successful project deliveries in fast-paced environments. She is also an advocate for clean code, agile methodologies, and continuous learning, often exploring new technologies and sharing her knowledge with the community.
Professional Summary
Harshita Srivastava's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
Lead Developer on Project Phoenix
Successfully led a team of 5 engineers in the development and launch of 'Project Phoenix,' a critical customer-facing application, resulting in a 20% increase in user engagement.
Tech Speaker at [Fictional Tech Meetup Name] 2022
Presented on 'Modern Microservices Architectures' at the [Fictional Tech Meetup Name], sharing insights with over 200 attendees.
Published Article on Scalable Backend Systems
Authored a well-received technical article on 'Best Practices for Building Scalable Backend Systems' on a popular tech publication/blog, contributing to industry knowledge sharing.
Recipient of 'Excellence in Innovation' Award
Awarded by a previous employer for developing an innovative internal tool that improved developer productivity by 15%.
Educational Background
Bachelor of Technology (B. Tech)
Indian Institute of Technology, Kanpur - Year 2013
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Company Overview
GreyLabs AIGreyLabs AI is an artificial intelligence company focused on empowering businesses by transforming complex data into actionable insights and automated solutions. They specialize in areas like natural language processing, machine learning, and data analytics to help organizations enhance decision-making, optimize operations, and drive innovation. Their services cater to businesses looking to leverage AI for a competitive edge in their respective industries.
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