AI Engineer with 2+ years in LLM-driven architectures, RAG pipelines, and cloud deployments.
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Applied Data Scientist and Machine Learning Engineer with 3+ years of experience designing and deploying enterprise-grade AI systems. Specialized in LLM-driven backend architectures, RAG pipelines, Agentic AI workflows, Text-to-SQL platforms, and real-time FastAPI + WebSocket systems. Strong expertise in NLP, model fine-tuning, prompt engineering, vector databases, and cloud-based AI deployments. Proven ability to reduce latency, improve model accuracy, and automate business-critical workflows across retail, banking, and enterprise ecosystems.
Great Lakes Institute of Management, Chennai
Post Graduate Program · Data Science & Engineering
August 1, 2023 – June 30, 2023
KSKCET, Kumbakonam
B.E. · Mechanical Engineering
August 1, 2020 – June 30, 2020
GenAI Resonance LLP
Gen AI Product Development Consultant & Data Scientist
August 1, 2024 – January 1, 2026
India
Pace Automation
Junior AI & ML Engineer & Data Scientist
September 1, 2023 – July 1, 2024
India
Oasis Infobyte
Data Scientist Intern
August 1, 2023 – September 1, 2023
India
Feynn Labs
Machine Learning Intern
May 1, 2023 – July 1, 2023
India
LetsGrowMore
Data Science Intern
February 1, 2023 – April 1, 2023
India
KPMG India
Data Analytics Consulting Virtual Intern
February 1, 2023 – February 1, 2023
India
Parkinson's Disease Prediction
June 1, 2026 – Present
Classification system using AdaBoost & XGBoost with precision/recall/F1 evaluation. Stack: Python, Scikit-learn, Pandas.
Supply Chain Sales Forecasting
June 1, 2026 – Present
Predictive regression model using XGBoost with hyperparameter tuning for demand forecasting. Stack: Python, Scikit-learn, NumPy, Pandas.
Netflix Analytics Dashboard
June 1, 2026 – Present
Interactive Power BI dashboard analyzing content distribution, viewership trends, and regional consumption patterns.
Communication
University of Pennsylvania
June 1, 2023 – Present
Data Analytics using Power BI
TechTip24
May 1, 2023 – Present
Predict IPL 2023 Winner Using ML
BossCoder Academy
May 1, 2023 – Present
Sports & Cricket Analytics
Mad About Sports, Rajasthan Royals
May 1, 2023 – Present
Python
Curious JR
April 1, 2023 – Present
SQL & Python
HackerRank
January 1, 2023 – Present
Microsoft Power BI (PL-300)
CloudThat
July 1, 2022 – Present
Cultural Fit Analysis
The candidate's project diversity, ranging from Parkinson's disease prediction to supply chain forecasting and Netflix analytics, indicates a broad interest in applying data science and AI across different domains. Their professional experience in GenAI product development and AI/ML engineering aligns directly with the target role of an AI Engineer. The breadth of skills listed, including various AI/ML frameworks, programming languages, databases, and cloud platforms, suggests a continuous learning mindset and adaptability, which are positive indicators for cultural fit in an innovative AI team. The candidate's involvement in multiple internships and research also points to a proactive and engaged approach to career development.
Soft Skills & Operational Fit
The candidate's resume indicates a strong focus on problem-solving and efficiency, as evidenced by efforts to reduce latency, improve accuracy, and automate workflows. The diverse project portfolio suggests adaptability and a proactive approach to learning and applying new technologies. The descriptions of project outcomes (e.g., 'improving answer relevance by 30%+', 'reducing API latency by ~40%') demonstrate a results-oriented mindset. The candidate's experience across various AI domains (NLP, GenAI, ML, Data Science) suggests a broad operational fit for dynamic AI engineering roles.