Dinesh Krishnamoorthy
∀(Complexity) ∃(Algorithm) ∴ EleganceAI
Architecting Intelligent Systems with Mathematical Precision & AI Innovation.
∫ About Me: The Algorithmic Mind
I am an AI/ML Engineer and Applied Mathematician, deeply passionate about the confluence of theoretical rigor and practical innovation. My core drive is to unravel complex data narratives and translate them into intelligent, high-impact technological solutions. Armed with a Master's in Mathematics, I approach every challenge with a first-principles mindset, seeking to architect systems that are not only robust and scalable but also possess an inherent elegance.
My journey has equipped me with comprehensive expertise across the machine learning pipeline—from meticulous data exploration (Pandas, NumPy) and advanced model development (LLMs like BERT/GPT, Deep Learning with PyTorch/TensorFlow, diverse classical ML algorithms) to seamless deployment in dynamic cloud environments (AWS, Docker). This technical acumen is complemented by proficiency in full-stack development (MERN stack) and a strong operational background in e-commerce, where I've consistently focused on optimizing system efficiency and elevating user engagement. My drive for continuous growth is evident in my personal projects, active blogging, and freelance initiatives, reflecting a relentless pursuit of knowledge and technological mastery.
∑ Professional Experience: Architecting Impact
E-commerce Operation Manager & ML Lead
UAC S.A.R.L | Kinshasa, DR Congo
Feb 2025 - Present
- Orchestrated backend optimization, seamless ERP system integration, and full automation of critical data pipelines.
- Engineered robust REST APIs for real-time order/inventory synchronization; implemented advanced CI/CD workflows.
- Pioneered ML applications: Fine-tuned Large Language Models (BERT/GPT) on proprietary data for nuanced customer analytics and support automation.
- Developed and deployed sophisticated recommendation engines (PyTorch/TensorFlow), significantly enhancing user engagement and conversion metrics.
- Managed scalable AWS cloud infrastructure, containerized microservices with Docker, and established comprehensive system monitoring via Grafana.
- Led the development of interactive partner portals using React.js and launched Progressive Web Apps (PWAs) for enhanced offline capabilities.
Analyst, Data & Quality Assurance
Dell India R&D Centre Pvt Ltd | Bangalore, India
Mar 2022 - Feb 2025
- Championed quality excellence in the Content Store Project, achieving 100% SLA adherence through strategic defect resolution.
- Optimized the IDPL Core Project by reducing defect turnaround time by 30%, leveraging QTest for rigorous testing and Power BI for insightful reporting.
- Delivered data-driven presentations to C-level stakeholders, influencing key strategic decisions.
- Mastered Test Case Design, Defect Management, SLA Governance, and Root Cause Analysis (RCA), ensuring platform stability and performance.
- Successfully maintained zero critical escalations throughout 2023 by proactively identifying and resolving over 50 high-priority defects.
Technical Editor
SPS Pvt Ltd | Chennai, India
Mar 2021 - Dec 2021
- Ensured impeccable content quality by meticulously reviewing and editing technical documentation for accuracy, clarity, and style guide compliance, consistently maintaining 100% SLA.
- Efficiently managed multiple concurrent projects, adhering to strict deadlines and fostering effective collaboration with production teams for timely content publication.
Transaction Process Associate
Accenture Services Pvt Ltd | Chennai, India
Oct 2017 - Aug 2018
- Demonstrated exceptional attention to detail in reviewing enrollment forms, verifying information integrity, and proactively addressing missing data to ensure 100% accuracy.
- Managed the timely completion and submission of all outgoing correspondence, upholding 100% SLA for enrollment form processing and record-keeping.
∇ Growth Path: Education & Foundational Experiences
My academic journey and early career internships laid the groundwork for specialized expertise.
M.Sc in Mathematics
Madras University (Mohammed Sathak A&S College)
Graduated: May 2020 | CGPA: 7.5
This advanced degree provided a deep understanding of complex mathematical theories and abstract problem-solving, forming the analytical bedrock for my work in AI and data science.
B.Sc in Mathematics
Madras University (S.C.P Jain A&S College)
Graduated: May 2017 | CGPA: 6.7
Established a robust foundation in core mathematical principles, cultivating critical thinking and a logical approach essential for algorithmic development.
Internship: Deep Learning in NLP
MSME-TDC (PPDC), Agra (Feb 2025)
Spearheaded the development of diverse NLP systems, including spam detectors (Naive Bayes), intelligent ticket classifiers (POS/NER), advanced sentiment analyzers (LSTM/GRU), and insightful topic modelers (NMF), gaining practical expertise in the nuances of language data.
Internship: Full Stack ML Engineer
MSME-TDC (PPDC), Agra (July 2024)
Engineered and deployed end-to-end machine learning models (regression, decision trees, K-Means) using Flask/Streamlit. Delivered impactful projects such as a loan eligibility prediction system and a customer churn analysis tool, translating data into interactive applications.
Internship: Business Analytics
MSME-TDC (PPDC), Agra (Oct 2024)
Conducted in-depth exploratory data analysis (Pandas/Numpy) and created compelling visualizations (Matplotlib/Seaborn) for e-commerce and IMDB datasets. Implemented web scraping solutions (BeautifulSoup) and API integrations to build comprehensive data repositories.
Ω Specializations: Courses & Certifications
Focused training programs that have honed specific technical competencies.
Cloud Computing Immersion
Indian Institute of Hardware & Technology | Chennai
Mastered key cloud infrastructure and service paradigms, focusing on AWS for scalable deployments. Gained certified skills in Networking (A+, N+, CCNA) and System Administration (RHCE, MCSA), crucial for robust cloud solutions.
MERN Stack Full Stack Mastery
CADD Center/Livewire | Chennai
Achieved expertise in the end-to-end MERN (MongoDB, Express.js, React.js, Node.js) development lifecycle through intensive, project-based learning, building multiple dynamic and responsive web applications.
🛠️ Skills Matrix: Technical Arsenal
A comprehensive overview of my core competencies and the tools I wield.
Programming & Web
- Python: Advanced (Data Science: Pandas, NumPy, PyTorch, TensorFlow, Scikit-learn; Web: Flask, FastAPI).
- JavaScript & TypeScript: Proficient (ES6+, Node.js for backend, React.js for SPAs).
- MERN Stack: MongoDB, Express.js, React.js, Node.js.
- Web Fundamentals: HTML5, CSS3 (Flexbox, Grid), PLSQL.
- Version Control: Git, GitHub.
Machine Learning & AI
- LLMs: BERT, GPT architectures, Fine-tuning, Prompt Engineering.
- Deep Learning: PyTorch, TensorFlow (CNNs, RNNs: LSTM/GRU).
- NLP: Spam Detection, POS/NER, Topic Modeling (NMF), Sentiment Analysis.
- Classical ML: Regression, Decision Trees, K-Means, SVMs.
- Recommendation Engines.
- AI Lifecycle: SDLC, STLC, Model Evaluation, AI Tools.
Data Science & Analytics
- Data Analysis & Manipulation: Pandas, NumPy.
- Data Visualization: Matplotlib, Seaborn; Power BI, Power Query, Power Pivot.
- Statistical & Logical Analysis.
- Web Scraping (BeautifulSoup), API Integration.
- Database Skills: VLOOKUP, Advanced Excel.
- Quality Assurance: SLA Audits. Sprint Planning. User Story Analysis.
Cloud, DevOps & Tools
- AWS (Cloud Computing).
- Docker (Containerization).
- CI/CD (Jenkins), Agile, Jira, Confluence.
- Monitoring (Grafana).
- Testing: Manual Testing, QTest, Defect Management, RCA.
- Productivity: MS Office, Salesforce, CRM Portals, XMetal, Adobe Acrobat, SAP Tools, CITRIX.
Π Key Projects & Innovations
A showcase of significant research, development, and impactful deliverables.
Custom Production LLM (1.5B Parameters)
Research Project / UAC S.A.R.L Integration
Engineered and deployed a bespoke Large Language Model, fine-tuned on specialized datasets. This system significantly reduced manual intervention in client interactions while upholding high accuracy and contextual understanding.
Advanced NLP System Suite
Internship Deliverable | MSME-TDC (PPDC)
Developed a comprehensive suite of Natural Language Processing tools, including a Naive Bayes spam detector, a POS/NER-based ticket classifier, an LSTM/GRU sentiment analyzer, and an NMF topic modeler, demonstrating versatile NLP capabilities.
Interactive Predictive Modeling Applications
Internship Deliverable | MSME-TDC (PPDC)
Delivered end-to-end Machine Learning applications, featuring a loan eligibility predictor and a customer churn analysis tool. Both were deployed with interactive Flask/Streamlit frontends for real-time prediction and visualization.
Advanced QR Code Generator
Personal Project
Developed a sophisticated QR code generator with advanced customization options, error correction levels, and multiple output formats. Built with Streamlit for an intuitive user interface.
Employee Management System Portal
Full-Stack Development Project
A comprehensive employee management system with features for HR administration, employee self-service, attendance tracking, and performance management. Built with modern web technologies.