Animesh Panda
Quality Assurance EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
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 focused on agentic systems and automation solutions.
As an Artificial Intelligence Engineer at Tata Consultancy Services, I focus on building LLM-powered applications, agentic systems, and enterprise-grade RAG pipelines. My work includes designing and deploying multi-step reasoning agents, retrieval workflows, and knowledge-graph-driven intelligence to improve grounding and reduce hallucination rates. Skilled in LangChain, LangGraph, Copilot Studio, Python, and REST APIs, I aim to enhance system accuracy, reduce latency, and boost efficiency. I hold a Master of Computer Applications (MCA) from Odisha University of Technology and Research, along with a Master of Science in Physics from the Central University of Punjab and a Bachelor of Science in Physics from Utkal University. With a strong foundation in agentic AI development, I am committed to delivering high-quality solutions, fostering collaboration with stakeholders, and innovating through AI-driven automation.
Odisha University of Technology and Research
Master of Computer Applications - MCA, Computer Application
N/A – Present
Central University of Punjab
Master of science in Physics -M.Sc Physics, Materials Science
N/A – Present
Utkal University
Bachelor of Science in Physics -B.Sc Physics
N/A – Present
Tata Consultancy Services
Artificial Intelligence Engineer
February 1, 2025 – Present
Hyderabad, Telangana, India
SmartInternz
Salesforce Developer
December 1, 2023 – January 1, 2024
Accenture Nordics - Developer Job Simulation
Forage
June 25, 2026 – Present
Cultural Fit Analysis
The candidate's primary experience is as an AI Engineer, which is not directly aligned with a Quality Assurance Engineer role. While the AI role demonstrates strong technical capabilities, the lack of specific QA experience, project diversity in testing, or explicit interest in QA methodologies suggests a potential mismatch for a Quality Assurance Engineer position. The internship as a Salesforce Developer further diversifies the technical background but does not contribute to QA alignment.
Soft Skills & Operational Fit
The candidate's experience description highlights collaboration with stakeholders, requirement gathering, delivering demos, and mentorship, indicating strong communication and teamwork skills. The AI Engineer role suggests an ability to work in complex, fast-paced environments. However, without psychometric test results, a full assessment of work attitude, stress handling, and team collaboration is not possible.