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AI Engineer with 10+ years in Full-Stack Development and Cloud-Native Architecture
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 and AI Application Engineer with 14+ years of experience designing, modernizing, and deploying enterprise-grade applications across cloud, mobile, and web platforms. Expert in AI integration, prompt engineering, microservices, and cloud-native architecture. Proven ability to transform prototypes into scalable production systems. Adept in SDLC, Agile/Scrum, and DevOps automation. Core strengths: AI-powered app design, LLM prompt architecture, product refactoring, and end-to-end delivery of intelligent systems.
SAIT, Utkal University
PGDCA
N/A – Present
Utkal University
B.Sc (PCM)
N/A – Present
Punjab Technical University
MCA
N/A – June 30, 2007
Punjab Technical University
MBA
N/A – Present
EverCommerce
Full-Stack Developer (Java, iOS, Android)
October 1, 2015 – Present
Bhubaneshwar, Odisha, India
Fidelity National Information Services (FIS)
Tech Lead
January 1, 2008 – September 1, 2015
Pune, Maharashtra, India
Agile Scrum Certification
Holland Square Group
May 1, 2026 – Present
AWS Certified Cloud Practitioner
Unknown
May 1, 2026 – Present
PMP®
Project Management Institute
May 1, 2026 – Present
SCJP
Sun Microsystems
May 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project experience across healthcare and fintech, coupled with their role as a Tech Lead managing offshore teams, indicates adaptability and a global mindset. Their continuous learning (certifications, AI skill development) suggests a growth-oriented individual. The focus on AI-driven solutions and automation aligns well with a forward-thinking, innovation-driven culture. The breadth of skills and technologies used demonstrates a willingness to embrace new tools and methodologies.
Soft Skills & Operational Fit
The candidate's resume highlights leadership in managing large teams and driving architectural changes, suggesting strong operational fit and the ability to influence technical direction. Their experience in re-architecting systems and implementing AI-driven solutions indicates a proactive and innovative mindset. The mention of L3 production support and root-cause analysis points to a strong sense of ownership and problem-solving skills. The candidate's interest in mentoring developers also suggests a collaborative and knowledge-sharing approach.