TECHNICAL LEADER · AI/ML & GENAI ENGINEERING · STARTUP BUILDER
Turning Data
into Impact
I build data-driven solutions using analytics, enterprise data engineering, and fine-tuned AI/ML models to solve ambiguous 0-to-1 business problems and create measurable impact.
Experience
Shipped
Certifications
Worked
TECHNOLOGIES I WORK WITH
WHAT I DO
From Data to
Real-World Solutions
I help organizations and startups transform raw data into production platforms through enterprise data engineering, interactive BI, and in-house GenAI models.
Data Analytics & BI
Build interactive Power BI, Tableau, and React dashboards with embedded natural-language AI assistants for executive stakeholders.
Data Engineering
Architect MariaDB-to-Lakehouse migrations via Microsoft Fabric Gateway API with ACID compliance, RLS, and automated Python CRON pipelines.
AI / Machine Learning
Develop fine-tuned SLMs, AI dashboard generators, LangChain/Pinecone RAG apps, and 91%-accurate hybrid ViT-CNN vision models.
0-to-1 Product Building
Ship commercial end-to-end SaaS platforms (Thozhil POS, BrewIQ, UniQR) and cut operational SaaS costs by 40% via in-house AI.
FEATURED PROJECTS
Selected Work
ABOUT ME
A Data Professional
Who Turns Data
into Impact
I'm a technical builder and AI-driven product leader with a proven record of taking ideas from zero to production—leading an enterprise data migration that lifted accuracy from 65% to 95%, cutting costs by 40% with in-house SLMs, and independently shipping five end-to-end products.
MY STORY
My Journey
My journey in data started with a deep curiosity to understand how computational models and clean data architectures solve real-world operational bottlenecks.
From training hybrid Vision Transformers and NLP anomaly detectors to leading Microsoft Fabric Lakehouse migrations for million-euro-revenue stakeholders and shipping commercial SaaS products like Thozhil POS and BrewIQ, I thrive on owning ambiguous 0-to-1 problems end-to-end.
Education
2020 – 2025M.Sc. Data Science (SASTRA University, CGPA 8.21) · B.Sc. Bioinformatics (Bishop Heber College, CGPA 7.8)
Specialized in statistical modeling, machine learning, deep learning architectures, and large-scale data engineering.
Internships
May 2024 – Jul 2025SQL Server Developer Intern (Document IT LLC) · ML Engineer Intern (IIT Guwahati - Atharvo)
Engineered complex SQL queries, stored procedures, and CTEs for reporting reliability; built ML/NLP models for predictive analytics and anomaly detection.
Professional Experience
Aug 2025 – PresentPower BI Analyst - Data Engineering (Knit-Works) · Junior Data Engineer (Document IT LLC)
Led MariaDB-to-Fabric Lakehouse migration (lifting accuracy from 65% to 95%), automated SharePoint/Power Automate/CRON Python ETL pipelines, and cut operational costs by 40% via in-house SLMs.
Certifications & 0-to-1 Building
2023 – Present9 Industry Certifications · 5 End-to-End Products Shipped
Certified across IBM AI Product Management, Azure AI-900, Google AI, Power BI, and ITIL 4 while shipping Thozhil POS, BrewIQ, UniQR, and TokenFlow.
SKILLS & EXPERTISE
Skills & Technologies
A full-spectrum skill set spanning enterprise Lakehouse engineering, executive BI, fine-tuned GenAI/SLMs, and full-stack product execution.
Data Analytics & BI
Interactive executive dashboards, KPI reporting suites, and embedded natural-language insights.
Data Engineering
Scalable Lakehouse migrations, automated ETL/ELT orchestration, and enterprise governance.
AI / Machine Learning
Fine-tuned SLMs, RAG architectures, computer vision, and automated GenAI workflows.
Tools & Platforms
Full-stack web and mobile product frameworks, cloud infrastructure, and workflow automation.
BEYOND WORK
What Drives Me
Solve Real Problems
Take ambiguous 0-to-1 challenges and engineer production systems that create immediate operational value.
Continuous Learning
Stay ahead across Microsoft Fabric, Small Language Models, and full-stack product architectures.
Collaborate & Lead
Partner directly with million-euro-revenue client stakeholders and cross-functional engineering teams.
Turn Data into Value
Focus on measurable ROI—like lifting data accuracy to 95% and cutting SaaS spend by 40%.
FEATURED WORK
Projects that
Create Real Impact
A collection of enterprise data engineering, Microsoft Fabric Lakehouse, applied GenAI/SLM, computer vision, and full-stack 0-to-1 SaaS products that solve real-world problems and deliver measurable impact.
FEATURED CASE STUDY
Enterprise Fabric Lakehouse & GenAI Suite (Knit-Works)
Architected a full enterprise migration from MariaDB to Microsoft Fabric Lakehouse via Gateway API, automated SharePoint-to-Python CRON ETL pipelines, and embedded fine-tuned SLMs and natural-language AI assistants into production React dashboards for million-euro-revenue stakeholders.
Business Problem
Legacy MariaDB schemas & manual SharePoint workflows caused 65% baseline data accuracy and high third-party SaaS/AI costs.
My Approach
Migrated to Fabric Lakehouse with ACID & RLS, automated Power Automate + CRON Python ETL, and deployed in-house fine-tuned SLMs.
Technologies Used
Microsoft Fabric, OneLake, Gateway API, MariaDB, Python, Power Automate, React.js, Power BI, SLMs.
Key Results
Lifted data accuracy from 65% to 95%, eliminated manual data handling, and drove a 40% reduction in operational costs.
SKILLS & EXPERIENCE
Skills, Experience
and a Growth
Mindset
A combination of deep technical execution, enterprise Lakehouse architecture, fine-tuned GenAI engineering, and 0-to-1 product leadership to create measurable business outcomes.
TECHNICAL SKILLS
Technical Skills
A well-rounded skill set across data analytics, enterprise data engineering, machine learning, and modern cloud & frontend platforms.
TOOLS & TECHNOLOGIES
PROFESSIONAL EXPERIENCE
Work Experience
A summary of my professional journey, key engineering responsibilities, and measurable business impact across enterprise data engineering, BI, and machine learning roles.
Download Full Resume
Power BI Analyst - Data Engineering
Knit-Works
- Architected and led end-to-end AI integration into business operations—building a fine-tuned AI dashboard generator, farm-management prediction models, SLM-based trend forecasting, and an embedded natural-language AI assistant.
- Led a full enterprise data migration (MariaDB → Lakehouse via Microsoft Fabric Gateway API), owning format conversion, table restructuring, unit standardization, ACID compliance, and Row-Level Security—raising data accuracy from 65% to 95%.
- Designed and automated an end-to-end ETL pipeline (SharePoint → Power Automate → CRON Python jobs → live dashboard refresh) and built the production React dashboard for million-euro-revenue client stakeholders.
- Drove a 40% reduction in operational costs by replacing third-party SaaS/AI vendors with in-house AI models, SLMs, and custom automation tools.
Junior Data Engineer & SQL Server Developer (Intern)
Document IT LLC · (Jr. Data Engineer: Aug 2025 – Apr 2026 | SQL Intern: Feb 2025 – Jul 2025)
- Designed and maintained production ETL and data pipelines in Python and SQL, engineering complex stored procedures, joins, and CTEs for enterprise reporting at scale.
- Owned data validation and production support end-to-end, resolving data-quality issues and strengthening pipeline execution efficiency.
- Built and tuned SQL queries, stored procedures, and CTEs for reporting and monitoring; led incident troubleshooting and root cause analysis to improve system reliability.
ML Engineer (Intern)
IIT Guwahati - Atharvo
- Developed machine learning and NLP models for predictive analytics and anomaly detection on large-scale datasets.
- Focused on model hyperparameter optimization, evaluation, and scalable deployment workflows.
EDUCATION
Education
M.Sc. Data Science
SASTRA University
2023 – 2025 · CGPA: 8.21B.Sc. Bioinformatics
Bishop Heber College
2020 – 2023 · CGPA: 7.8CERTIFICATIONS
Certifications
AI & Product Leadership
IBM AI Product Manager Professional Certificate · Microsoft Azure AI Fundamentals (AI-900) · Google AI Professional Certificate
Data Analytics & Software Engineering
Microsoft Power BI · Deloitte Data Analytics · Walmart Advanced Software Engineering
ITSM, DevOps & Cybersecurity
ITIL 4: Foundations and Framework · Introduction to DevOps (IBM) · Incident Response & Digital Forensics (IBM)
ACHIEVEMENTS
Achievements
65% → 95% Enterprise Data Accuracy
Led full MariaDB-to-Fabric Lakehouse migration with ACID compliance and Row-Level Security.
40% Operational Cost Cut
Replaced paid third-party SaaS/AI tools with custom in-house SLMs and automated Python pipelines.
5 Shipped Products & 91% Medical AI Accuracy
Independently shipped Thozhil POS, BrewIQ, UniQR, TokenFlow, and a 91%-accurate Multi-Scale ViT-CNN model.
GET IN TOUCH
Let's Build
Something Meaningful
Together
I'm always open to discussing new opportunities, 0-to-1 product collaborations, or enterprise roles related to data analytics, data engineering, machine learning, and GenAI.
CONTACT INFORMATION
Ways to Connect
Feel free to reach out through any of the following channels. I'll get back to you as soon as possible.
SEND A MESSAGE
Get In Touch
Have a question, project idea, or opportunity? Send a message and I'll respond promptly.
AVAILABILITY
Open to Opportunities
I'm currently employed full-time, and selectively open to conversations about leadership and senior individual contributor roles, 0-to-1 product builds, and consulting across data engineering, Microsoft Fabric, Power BI, and GenAI/SLMs.
LOCATION
Based in
Tiruchirappalli, Tamil Nadu, India
Open to remote opportunities and enterprise collaborations worldwide.
FREQUENTLY ASKED QUESTIONS
Quick Answers
I am open to Technical Lead, Data Engineer, Power BI / Microsoft Fabric Architect, and AI/ML Product Engineer roles—as well as 0-to-1 startup product consulting.
Emailing me at laxmann.2003@gmail.com or calling/messaging +91 63798 09495 is the fastest route.
Yes—I have independently designed, architected, and shipped five end-to-end products (Thozhil POS, BrewIQ, UniQR, TokenFlow, and Multi-Scale ViT-CNN) covering database design, backend APIs, AI/SLM models, and React/React Native UIs.
I typically respond to all emails, LinkedIn messages, and inquiries within 12–24 hours.
Yes. At Knit-Works, I led an enterprise MariaDB-to-Microsoft Fabric Lakehouse migration enforcing ACID compliance and Row-Level Security (RLS), raising data accuracy from 65% to 95% for million-euro-revenue stakeholders.
Absolutely! Use the contact form above or reach out directly via phone or email with your preferred time slot.