Full Stack Engineer with 2+ years in MERN, AI, and Search Systems
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Assessing your cultural and operational fit
Aviral Mishra is a Full-Stack Developer with 2.3 years of experience in building scalable web applications and AI-powered systems. Specializing in MERN stack, Python (Flask), and Apache Solr, he has developed dashboards for event monitoring, optimized web performance, and implemented robust search and data management solutions. His expertise also includes integrating AI/ML APIs and designing secure authentication systems.
JECRC University
B.Tech · Computer Science (Data Science)
August 1, 2020 – June 30, 2024
Times Internet Ltd (ETB2B)
Full-Stack Developer
February 1, 2024 – Present
Noida, Uttar Pradesh, India
Persistent Systems
Software Engineering Intern
July 1, 2023 – August 1, 2023
India
AcadNow - Full-Stack EdTech Platform
May 28, 2026 – Present
Built a fully functional EdTech platform enabling users to create, consume, and rate educational content, with role-based access control and end-to-end course workflows. Implemented secure JWT authentication, authorization, and REST APIs using the MERN stack.
Cultural Fit Analysis
The candidate exhibits a strong cultural fit for a dynamic technical environment. Their diverse project portfolio, ranging from a personal EdTech platform to complex data and search systems at Times Internet, showcases adaptability and a broad interest in technology. The willingness to integrate new tools (AI APIs) and architect systems from the ground up (Apache Solr) indicates a growth mindset and a proactive approach to learning and innovation. This breadth of skills and experience aligns well with a collaborative and evolving full-stack engineering culture.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative through a personal full-stack project and a proactive approach to problem-solving and system design in their professional role. Their ability to integrate advanced technologies like AI APIs and architect complex systems like Apache Solr from scratch indicates a high degree of technical autonomy and a results-oriented mindset. The detailed descriptions of their work suggest good project management and execution capabilities, suitable for operational roles requiring end-to-end feature ownership.