AI Engineer with 3+ years in LLMs, RAG, and scalable ML workflows
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer with 3 years of experience designing, deploying, and optimizing AI-driven data pipelines, LLM-based applications, and scalable machine learning workflows.
Bharati Vidyapeeth college of engineering
B.Tech
August 1, 2016 – June 30, 2020
Metapercept Technology Ltd.
AI Engineer
January 1, 2026 – May 1, 2026
Pune, Maharashtra, India
Orbiqe Technologies Pvt. Ltd.
AI Engineer
December 1, 2025 – January 1, 2026
Noida, Uttar Pradesh, India
Synram Software Pvt. Ltd.
AI Data Engineer
August 1, 2025 – October 1, 2025
Gwalior, Madhya Pradesh, India
Infosys Limited
Data Engineer
February 1, 2022 – May 1, 2023
Chandigarh, Chandigarh, India
Bharat Dynamics Limited (Ministry of Defence)
Data Analyst
January 1, 2021 – January 1, 2022
Hyderābād, Telangana, India
Cultural Fit Analysis
The candidate has worked in diverse roles from Data Analyst to AI Engineer across multiple companies, including a government defense organization and technology firms. This breadth of experience suggests adaptability to different organizational cultures and project types. The focus on AI-driven solutions and data pipeline optimization aligns well with a modern, data-centric engineering culture. The progression from Data Analyst to AI Engineer indicates a continuous learning mindset and ambition, which are positive indicators for cultural fit in an innovative environment. The lack of specific project details beyond work experience makes it difficult to assess collaboration styles or community involvement.
Soft Skills & Operational Fit
The candidate's resume highlights practical application of AI and data engineering skills to solve real-world problems, indicating a results-oriented approach. The descriptions of reducing latency, improving accuracy, and optimizing efficiency suggest a focus on performance and operational excellence. The diverse project experience implies adaptability and a willingness to tackle varied technical challenges. However, without specific psychometric or English test results, a deeper assessment of soft skills like logical reasoning, work attitude, stress handling, and team collaboration cannot be made.