Get To Know
About Me
A 'jack of all trades' whose journey spans digital analytics and sales, eventually evolving into data science and AI.
My expertise and experience spans from traditional data analytics and mining to cutting-edge AI solutions.
Currently, I'm focused on building LLM solutions and automations that drive efficiency and innovation.
Education
B.Tech in Electronics & Communication Engineering
GGSIPU
2011 - 2015
Higher Secondary (STEM)
CBSE
2011
What I Work With
Skills & Technologies
Programming Languages
Data Processing
Database
Data Visualization
Deep Learning & Gen AI
Cloud Computing
Version Control
MS Power Platforms
My Journey
Work Experience
AI Engineer
Advanced technology upskilling with focus on RAG-based LLM solutions, Azure AI, and CI/CD pipeline implementation. Building complex R Shiny dashboards and Alteryx macros for enterprise clients.
Analytics Professional
Introduction to analytics and R programming. Developed data-driven insights for media planning and optimization. Built foundational skills in statistical analysis and visualization.
Business Analyst
Created impactful business development presentations. Analyzed market trends and client requirements to support strategic decision-making.
Analyst
Started career with social media data analysis. Gained experience in extracting insights from digital platforms and user behavior patterns.
Continuous Learning
Certifications & Learning
Linear Algebra Lectures
Rachel Howard
Comprehensive course covering fundamental linear algebra concepts essential for machine learning.
View CertificateNeural Networks: Zero to Hero
Andrej Karpathy
Deep dive into neural network architecture, backpropagation, and modern deep learning techniques.
View CertificateCS 25: Transformers United
Stanford University
Cutting-edge course on transformer architectures and their applications in NLP and beyond.
View CertificateWhat I've Built
Featured Projects
Hireability Analyzer
LLM-powered tool that scores hireability and estimates market value from a resume, GitHub and Kaggle profile. Parses PDF/DOCX resumes, collects profile signals, and prompts an LLM with Pydantic-validated structured outputs to produce a weighted 0–100 score, salary estimate and targeted recommendations. Containerised and deployed as a Hugging Face Space.
Thoughts & Writings
Latest Blog Posts
World Cup 2026, in Photographs
Since the tournament is over and we'll have to wait for another 4 years, let's relive it via some of the best photos
Microsoft Copilot Agents vs. Custom AI Solutions: A Manager's Decision Guide
The single biggest mistake managers make is choosing the platform before scoring the problem.