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Full Stack Engineer with 3+ years in Generative AI & Web Development
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Full Stack Developer with 3.5 years of experience in building scalable enterprise applications and cutting-edge Generative AI solutions. Proficient in a wide range of technologies including Next.js, React, Node.js, Python, and AWS, with specialized expertise in LLMs, multi-agent systems, and AI workflow orchestration. Proven ability to enhance efficiency, reduce costs, and improve performance across diverse development environments.
Indira Gandhi Institute of Technology (IGIT), Sarang
B.Tech · Computer Science and Engineering
August 1, 2018 – June 30, 2022
Aays Advisory Private Limited
Full Stack Developer
July 1, 2024 – Present
Gurgaon, Haryana, India
KansoCloud
Full Stack Developer
June 1, 2022 – January 31, 2024
Hyderābād, Telangana, India
Instatune - AI Music & Audio Generation Platform
May 29, 2026 – Present
Built an AI-powered platform for generating music, voiceovers, and background audio using prompt-driven workflows. Implemented dynamic AI model selection for optimized audio quality and performance. Designed scalable backend pipelines to handle concurrent media generation requests. Implemented secure authentication and asset management for generated media files.
Cultural Fit Analysis
The candidate's diverse project experience, ranging from enterprise GenAI solutions to scalable applications and a personal AI music platform, indicates adaptability and a broad interest in technology. The focus on improving efficiency, reducing costs, and accelerating delivery aligns well with a results-oriented and innovative culture. The use of modern technologies and frameworks (Next.js, React, Node.js, FastAPI, Docker, AWS, LLMs, LangGraph, CrewAI) suggests a strong fit with dynamic and fast-paced environments. The ability to work with enterprise stakeholders implies good communication and collaboration skills.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving capabilities through designing complex AI orchestration systems and optimizing performance metrics. Evidence of collaboration is present through real-time ideation pipelines and direct stakeholder engagement. A clear focus on efficiency, optimization, and reducing production issues indicates a strong operational fit. However, direct evidence of specific soft skills like leadership, mentorship, or conflict resolution is not explicitly detailed in the provided data.