I turn messy problems into systems people can actually use.
Not just what I build. How I think.
I am a Computer Science graduate specializing in AI and Machine Learning, but my core focus goes beyond writing code. I am interested in the intersection of business needs, product thinking, and AI-accelerated workflows.
Most software solves the workflow, but not the underlying problem. I focus on understanding ambiguous requirements, conducting thorough business analysis, and designing systems that actually create value.
Whether it's prototyping a new AI product, mapping complex business processes, or automating tedious operations, I leverage AI as a force multiplier to turn messy ideas into structured, functional reality.
Selected work.
Reddyt
A social intelligence platform designed to extract, analyze, and uncover actionable customer insights, purchase intent, and competitor sentiment from Reddit discussions.
NovaCart
A centralized retail analytics platform built to eliminate reporting lag, monitor sales velocity, category margins, and regional demand trends for data-driven decisions.
AstraWork
An evidence-based talent intelligence system that evaluates candidates through verifiable deliverables (Projects, GitHub, Demonstrations) instead of keyword matching.
Apply Flow
An autonomous multi-agent career operations system that automates job discovery, preflight candidate qualification, ATS-tailored documents, and browser application execution.
Campus Placement Tracker
A centralized campus placement management prototype modeling multi-stakeholder workflows, recruitment drive schedules, and student eligibility tracking.
Ideas I couldn't leave alone.
Explorations, prototypes, and concepts that didn't need to be full products, but were too interesting not to build.
FITCOACH
AI fitness & nutrition companion using natural language meal logging with self-healing JSON parsing, offline IndexedDB storage, and BMR/TDEE planning.
Live DemoRESUME TAILOR
Mistral-powered truthful tailoring with anti-hallucination guardrails, ATS keyword scoring, and 5 ATS-compliant layouts compiled with WeasyPrint.
GitHub RepoTHODAR AI
Voice-first multilingual conversational assistant translating customer intent into contextual e-commerce product recommendations.
Live DemoRAHMAN CRT MONITOR
Real-time cryptocurrency pattern monitor scanning multiple coins and timeframes via Binance public APIs with instant Telegram alerts.
GitHub RepoWATCHSYNC
Manifest V3 Chrome extension providing persistent session checkpoints across video learning platforms (YouTube, Coursera, Udemy).
GitHub RepoThings I'm thinking about.
Why job boards are fundamentally broken.
The current hiring system optimizes for keywords rather than capability, creating a lose-lose situation for both companies and candidates.
Why people shouldn't be reduced to keywords.
Resumes are a compressed format. When we filter them by keywords, we lose the context of how a person actually solves problems.
How AI changes product development.
AI isn't just a feature to add to existing products. It fundamentally changes the cost structure of building software and exploring ideas.
Building useful products with tiny teams.
With AI-accelerated workflows, a team of two can now execute with the velocity of a team of ten, provided they have clear product thinking.
Where AI automation actually creates value.
Not every process needs an LLM. Value is created when AI handles the unstructured ambiguity that traditional code cannot parse.
Why most software solves the workflow, but not the underlying problem.
We often build tools that make a bad process faster, instead of rethinking the process itself to eliminate the need for the tool entirely.
I WORK ACROSS
I don't limit myself to a single vertical. AI is used as a force multiplier across research, development, analysis, prototyping, and automation to build better systems faster.
BUSINESS & PRODUCT01
- Business Analysis
- Requirements Elicitation
- Stakeholder Management
- Process Optimization
- Market Research
- Product Thinking
- Documentation
- BPMN / Process Mapping
- Jira / Confluence
AI-ACCELERATED02
- AI-Assisted Development
- LLM Workflows
- AI Automation
- Prompt Engineering
- AI Product Prototyping
- AI-Augmented Problem Solving
DATA & ANALYTICS03
- SQL
- Microsoft Excel
- Power BI
- Data Analysis
- Reporting Dashboards
- Business Intelligence (BI)
- Data Cleansing
DESIGN & BUILD04
- Next.js
- TypeScript
- React
- Tailwind CSS
- Figma
- Python
- REST APIs
- Git
Microsoft Business Analysis Fundamentals
Google Agile Project Management
IBM Python for Data Science
MyCaptain
- ●Onboarded and trained ~100 campus ambassadors across universities, enabling campus-led product outreach and generating nearly 500 qualified leads.
- ●Contributed approximately ₹2.5 lakh in revenue through the campus ambassador-led acquisition program and funnel tracking.
- ●Researched and identified ~5 potential institutional partners, supporting business development and strategic partnership outreach.
- ●Coordinated with campus representatives and internal cross-functional teams to communicate product info and maintain operational follow-up.
Student Affairs, SRMIST
- ●Coordinated 60+ volunteers across 12+ university-wide events, leading operational planning across students, faculty, administration, and external vendors.
- ●Analyzed 2,500+ student survey responses to identify key campus needs, prioritize operational improvements, and deliver structured recommendations.
- ●Secured approximately ₹5 lakh in event funding and resources through detailed proposals, achieving ~80% participant satisfaction ratings.
- ●Maintained operational trackers, documentation, event schedules, and cross-functional action items to ensure flawless execution.
Accenture North America
- ●Completed an enterprise project-management simulation modeling real-world consulting scenarios, applying structured methodologies to planning and delivery.
- ●Analyzed business and project requirements, prioritized deliverable backlogs, and developed structured documentation to align cross-functional stakeholders.
- ●Managed project schedules, dependencies, and risks across simulated client deliverables to ensure quality control and milestone delivery.