WORLD 1-1
Where it started
GL Bajaj Institute of Technology & Management
2022 – 2026 · Greater Noida, UP
B.Tech in Information Technology. Four years of fundamentals, late-night builds, and finding out which parts of computing actually stuck.
- B.Tech, Information Technology — CGPA 7.71
- Jaypee Public School, Greater Noida — Class X 93%, Class XII 84%
C++JavaPythonSQLGit
WORLD 2-1
The power-up
Amazon ML Summer School 2025
Aug 2025
Selected for Amazon's flagship machine learning programme — 3,000 students from more than 60,000 applicants.
- Top 5% of applicants nationwide — 3,000 selected from 60,000+
- Supervised & unsupervised learning, deep neural networks, generative AI, reinforcement learning, causal inference, sequential learning
- Taught directly by Amazon Scientists on real-world ML systems
Machine LearningDeep LearningGenerative AIscikit-learnPandas
WORLD 3-1
The grind
MAQ Software — Associate Software Engineer
Sept 2025 – Sept 2026 · Noida
Countless hours of learning, making mistakes, asking questions, and debugging issues that made absolutely no sense at first — until things gradually started to make sense.
- Got hands on technologies I had only read about: C#, .NET, Dynamics 365, Power Platform, Azure, Power Automate, Dataverse, and eventually Semantic Kernel
- Developed and enhanced enterprise CRM solutions using Microsoft Dynamics 365 and the Power Platform, contributing to end-to-end feature development and customisation of business requirements
- Designed and implemented custom Dynamics 365 plug-ins, Power Automate cloud flows, and model-driven Power Apps customisations to automate workflows and streamline CRM business processes
- Learned how software is designed before a single line of code is written
- Learned how teams collaborate to solve complex business problems
- Learned how to debug patiently instead of simply guessing
- Learned why clean, maintainable code matters in the long run
C#.NETDynamics 365Power PlatformPower Automate
WORLD 4-1
Shipping
MAQ Software — SE1
Sept 2026 – Present · Noida
Building AI-powered features inside enterprise CRM — from design through to production.
- Built and deployed AI-powered chatbot features using C# and .NET, owning the complete software development lifecycle from design and implementation through testing and deployment
- Leveraged Semantic Kernel to design kernel functions, orchestrate LLM-driven conversational workflows, and implement intent-based response pipelines, improving automation and user query resolution
- Designed agentic workflows where the model plans and invokes Semantic Kernel functions to complete multi-step CRM tasks autonomously
- Implemented tool and function calling so the agent can query Dataverse, trigger Power Automate flows, and write results back to Dynamics 365
- Built intent routing and conversation memory so the agent holds context across turns
- Added guardrails, retries, and response evaluation to keep agent output reliable in production
Semantic KernelAgentic WorkflowsLLM OrchestrationC#.NET
And most importantly — how much there is still left to learn.
WORLD 5-1
The castle
What comes next
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