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AI Engineer with less than a year in Voice AI, LLM Integration & Cloud Deployment.
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 hands-on experience building production-grade voice AI agents, agentic platforms, and Generative AI solutions. Skilled in end-to-end development across the AI stack, from LLM prompt engineering and RAG pipelines to cloud deployment on Azure and GCP. Currently driving multiple AI product initiatives at Sandhata Technologies, including VOI (Sandhata AI's Voice Platform), an SDLC automation tool (EVA), and production voice agents built on VOI and Retell AI.
K.L.N College of Engineering
Master of Computer Applications (MCA)
August 1, 2023 – June 30, 2025
K.L.N College of Arts and Science
Bachelor of Science · Computer Science (B.Sc CS)
August 1, 2020 – June 30, 2023
Sandhata Technologies
AI Engineer
December 1, 2025 – Present
India
Dot Com Infoway
Junior AI Developer
August 1, 2025 – November 1, 2025
India
Dot Com Infoway
AI Trainee
July 1, 2025 – August 1, 2025
India
Wec.ai
AI Intern
April 1, 2025 – June 1, 2025
India
Cultural Fit Analysis
The candidate's experience spans multiple AI product initiatives, including voice AI, platform engineering, and intelligent automation, which aligns well with an AI Engineer role. The diversity of projects, from client-facing voice agents to internal SDLC automation, demonstrates a broad interest and capability in applying AI across different domains. The rapid progression from AI Intern to AI Engineer within a short timeframe suggests ambition and a strong drive for learning and growth. However, the relatively short tenure at previous companies (Dot Com Infoway, Wec.ai) might warrant further inquiry into long-term commitment and stability, which could impact cultural fit in a long-term role. The focus on practical, production-grade solutions indicates a results-oriented approach.
Soft Skills & Operational Fit
The candidate's resume highlights a strong focus on product development and automation, indicating a proactive and solution-oriented mindset. The experience in designing and implementing complex systems like multi-source Knowledge Bases and prompt testing pipelines suggests good problem-solving and operational execution skills. The ability to work across different cloud platforms (Azure, GCP) and integrate various tools (MSAL, Azure DevOps) points to adaptability and a collaborative approach to system integration. However, without direct assessment data on communication, stress handling, or teamwork, a comprehensive evaluation of soft skills and operational fit is limited.