Senior Mern Developer with 3+ years in web application development, AI/ML integration, and cloud dep
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Experienced MERN Full Stack Developer with 3.7 years of expertise in building scalable web applications, integrating AI/ML features, and optimizing cloud infrastructure. Proficient in developing real-time features with Socket.io, implementing RAG pipelines, and deploying applications on AWS. Demonstrated ability to enhance system performance, minimize hallucinations in LLM models, and manage end-to-end development lifecycles for various domains including gambling, banking, and SaaS.
Kokan Krishi Vidhyapeeth
Bachelor of Science · Horticulture
August 1, 2014 – June 30, 2018
Konkan Divisional Board
HSC
June 1, 2012 – May 31, 2014
Central Board of Secondary Education
SSC
June 1, 2010 – May 31, 2012
Philippine National Bank
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India
HKB & Komodo
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August 1, 2024 – December 1, 2025
Mumbai, Maharashtra, India
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Pnk Technologies
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July 1, 2022 – March 1, 2024
Pune, Maharashtra, India
Certification Namaste Node JS
Aksahay Saini
May 1, 2026 – Present
Digital marketing Certification
Google Digital Garage
May 1, 2026 – Present
WordPress Certified
Hubspot Academy
May 1, 2026 – Present
Certification in React Js
Udemy
May 1, 2026 – Present
SEO Specialization Certification
Coursera.org
May 1, 2026 – Present
MERN Full-Stack Internship
Cuvette
August 1, 2023 – Present
React Js Internship
Data Council
January 1, 2022 – Present
SEO Analyst
IDM Pune
May 1, 2021 – Present
WordPress Designer
Victorious Digital
July 1, 2020 – Present
Cultural Fit Analysis
The candidate exhibits a strong cultural fit through a diverse project background spanning multiple industries, indicating adaptability and a broad perspective. The proactive engagement with emerging technologies like Gen AI/LLMs demonstrates a continuous learning mindset. Despite a non-traditional educational background, the candidate's practical experience and quantifiable achievements highlight a self-driven and resilient individual, which can be a valuable asset to a dynamic team.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving abilities through optimizing LLM models, improving scalability, and configuring infrastructure for performance. Initiative and leadership are evident in leading migrations and designing new features. The diverse project portfolio suggests adaptability and a results-oriented approach, while the focus on uptime and performance indicates attention to detail and reliability.