Suresh Mani
AI/ML Engineer
- Role
- Data Science Manager at Infosys
- Location
- Cincinnati, OH, US
- LinkedIn followers
- 500 followers
About Suresh Mani
Microsoft Certified Machine Learning Solutions Associate with extensive experience in driving growth, KPI and revenue using machine learning, actionable insights, predictive analytics, informed decision making, customer, product analytics, IoT, Text analytics, NLP, social media analytics, CRM, and cross channel customer interaction analytics.• Strong knowledge and experience in model development using machine learning algorithms (both unsupervised and supervised learning) Regression, Logistic Regression, Ensemble models (Random Forests etc), Decision Trees, Time-Series, collaborative filtering (recommendation engines), k-Means clustering, k-NN, SVM, NLP (Natural Language Processing) –Topic Modelling (LDA), Text Mining, Neural Networks, and A/B Testing etc.• Hands on Deep Learning experience using different neural network architectures – Feed Forward, RNN, LSTM, and CNN • Excellent business knowledge and worked in diverse domains – Customer Advanced Analytics, Customer Experience, Marketing & Sales (products & services), Healthcare, Telecom, Energy, Banking, Insurance
Experience
Data Science Manager
Feb 2025 — Present · Cincinnati, OH, US
Developed an \"Agentic SRE\" Framework: Built an autonomous monitoring agent using LangChain that independently tracks application health and latency, reducing Mean Time to Detection (MTTD) by automating log analysis and issue triage.Advanced AI Security & Protocol: Extensively implemented Model Context Protocol (MCP) with Google OAuth integration, establishing a secure, standardized interface for LLMs to interact with production data and internal tools.Multi-Agent Orchestration: Architected complex multi-agent systems using Google ADK and Vertex AI, incorporating short-term and long-term session memory to maintain context across complex operational tasks.Performance & Reliability: Integrated automated evaluation (evals) pipelines to measure agent accuracy and reliability, ensuring AI-driven interventions meet production standards.Cloud-Native AI Integration: Utilized Vertex AI services to deploy and scale agentic workflows, bridging the gap between traditional infrastructure and autonomous operations.
Education
Mahalashmi College Of Arts And Science
B.Sc, Microbiology
2002 — 2005
Cornell University
Certificate in AI Strategy, Artificial Intelligence
Loyola College
Master of Business Administration (M.B.A.), Marketing Management
2010 — 2012
Loyola College
M.Sc, Biomedical Science
2005 — 2007
Skills
- Data Management
- Data Mining
- Business Intelligence
- Requirements Analysis
- Text Mining
- Analytics
- Etl
- Data Warehousing
- Business Analysis
- Predictive Modeling
- Machine Learning
- Sql
- Lifesciences
- Python
- Unix
- R
- Microsoft Sql Server
- Business Analytics
- Natural Language Processing
- Data Analysis
- Algorithms
- Analysis
- Data Science
- Statistics
- Sas Programming
- Team Management
- Statistical Modeling
- Sas
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