Rajanikala Dwarampudi
AI 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 with 1+ years in Machine Learning, NLP, and Generative AI.
Results-driven AI professional with 1.5 years of experience in developing production-grade Machine Learning, NLP, Generative AI, and data-driven solutions. Expert in designing end-to-end AI applications, RAG pipelines, and LLM-powered systems, covering data preparation, feature engineering, deployment, and monitoring. Proficient in Python, SQL, TensorFlow, PyTorch, Scikit-learn, LangChain, and FastAPI. Skilled in LLM fine-tuning, prompt engineering, model evaluation, statistical analysis, and MLOps. Demonstrated ability to apply advanced analytics and AI technologies to solve complex business challenges, deliver actionable insights, and create scalable, high-impact solutions in cloud-based production environments.
Jawaharlal Nehru Technological University
Master of Computer Applications (MCA)
August 1, 2021 – June 30, 2023
Adikavi Nannaya University
Bachelor of Science in Computer Science · Computer Science
August 1, 2018 – June 30, 2021
Centific Global Technologies India Pvt. Ltd.
Associate Software Engineer – AI/ML
August 1, 2024 – September 1, 2025
Hyderābād, Telangana, India
DevZen Software Solutions Pvt. Ltd.
Data Scientist Intern
December 1, 2023 – June 1, 2024
Hyderābād, Telangana, India
HackerRank Certified - SQL
HackerRank
June 1, 2026 – Present
AWS Academy Certified - Artificial Intelligence & Machine Learning
AWS Academy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience spans both an internship at a software solutions company and an Associate Software Engineer role at a global technology company, indicating adaptability to different work environments. The projects demonstrate a breadth of skills in AI/ML, NLP, and Generative AI, aligning well with an AI Engineer role. The focus on practical, deployed solutions and continuous evaluation suggests a proactive and quality-oriented mindset. The certifications in AWS AI/ML and HackerRank SQL further show a commitment to continuous learning and skill development, which generally contributes positively to cultural fit in a tech-driven environment. The diversity of projects (image translation, LLM evaluation, NLP pipelines, chatbots, fraud detection) suggests a versatile individual capable of tackling various challenges.
Soft Skills & Operational Fit
The candidate's resume highlights a results-driven approach and ability to deliver high-impact solutions. The descriptions of project outcomes (e.g., percentage reductions, improved accuracy) suggest a focus on measurable results and operational efficiency. The experience with multi-domain chatbots and evaluation frameworks indicates an ability to handle complex requirements and ensure quality, which are valuable for operational fit. However, without direct assessment data on communication, logical reasoning, or teamwork, a comprehensive evaluation of soft skills and operational fit is limited.