RAKESH G SHARMA
Senior AI Software EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior Software Engineer with 8+ years in Frontend & Backend Development, focusing on ReactJS, NodeJ
Experienced Software Engineer with 8 years of progressive experience, excelling in building scalable APIs, leading product development teams, and optimizing web application performance. Proficient in a wide array of frontend and backend technologies including ReactJS, NodeJS, and cloud platforms like Azure and Firebase. Recognized for strong problem-solving, mentorship, and contributing to open-source initiatives, ensuring robust and secure software solutions from inception to deployment.
JECRC UNIVERSITY
Bachelor Of Technology · Computer Science Engineering
August 1, 2014 – June 1, 2018
SR Public Sr Sec School
Senior Secondary (PCM) · PCM
April 1, 2011 – March 1, 2014
BitGo
Senior Software Engineer
May 1, 2024 – Present
Bengaluru, Karnataka, India
Morgan Stanley
Manager
January 1, 2023 – April 1, 2024
Mumbai, Maharashtra, India
Morgan Stanley
Senior Associate
September 1, 2020 – December 1, 2022
Mumbai, Maharashtra, India
Mindtree
Engineer
June 1, 2018 – July 1, 2020
Bengaluru, Karnataka, India
FlitWebs India
Developer Intern
January 1, 2018 – June 1, 2018
Jaipur, Rajasthan, India
Distinguished Contributer
Unknown
June 1, 2026 – Present
Morgan Stanley Hackathon Winner
Morgan Stanley
January 1, 2021 – Present
Crest Award Winner
Mindtree
January 1, 2020 – Present
GATE Qualified
Unknown
January 1, 2018 – Present
Cultural Fit Analysis
The candidate's experience across multiple companies (Mindtree, Morgan Stanley, BitGo) and participation in hackathons and community sessions suggest adaptability and a collaborative spirit. Their involvement in hiring practices at Morgan Stanley indicates an understanding of organizational needs and a commitment to team building. The diverse project experience, from web app optimization to financial batch job management and blockchain services, shows a broad technical interest and ability to adapt to different domains, which is a good fit for a dynamic AI engineering team.
Soft Skills & Operational Fit
The candidate demonstrates strong soft skills including leadership, mentorship, and collaboration, as evidenced by leading teams, providing code reviews, and coordinating with global stakeholders. Their 'Always Learning' and 'Deep Dive' strengths suggest a proactive and innovative mindset, while 'Keeping it Cool' indicates good stress management. These traits align well with the demands of a senior role in a fast-paced technical environment.