AI Engineer with 2+ years in AI & ML
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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, 2022 – June 30, 2023
KSKCET, Kumbakonam
B.E. · Mechanical Engineering
August 1, 2016 – 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
Parkinson's Disease Prediction
February 1, 2023 – March 1, 2024
Classification system using AdaBoost & XGBoost with precision/recall/F1 evaluation. Stack: Python, Scikit-learn, Pandas.
Supply Chain Sales Forecasting
February 1, 2023 – March 1, 2024
Predictive regression model using XGBoost with hyperparameter tuning for demand forecasting. Stack: Python, Scikit-learn, NumPy, Pandas.
Netflix Analytics Dashboard
February 1, 2023 – March 1, 2024
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
Sports & Cricket Analytics
Mad About Sports, Rajasthan Royals
May 1, 2023 – Present
Predict IPL 2023 Winner Using ML
BossCoder Academy
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 experience spans various types of projects (personal, internships, professional roles) and industries (retail, banking, general enterprise), indicating a broad interest and adaptability. The involvement in research (Must Research Club) and diverse certifications suggests a continuous learning mindset. The focus on practical, impact-driven solutions aligns well with a dynamic, results-oriented engineering culture.
Soft Skills & Operational Fit
The candidate's project descriptions and professional experience highlight a results-oriented approach, focusing on quantifiable improvements (e.g., latency reduction, accuracy improvement). The diverse project portfolio suggests adaptability and a proactive learning attitude. Experience with CI/CD pipelines and secure authentication frameworks indicates an understanding of operational best practices for deploying AI systems.