Software engineer focused on production-grade AI systems, full-stack products, automation, and data-driven applications.
I'm a Computer Engineering student at Nirma University and a Software Engineering Intern at FloIndex Ventures LLP (Clarityy AI), working at the intersection of software engineering, applied AI/ML, data, and product engineering.
I enjoy taking problems from idea → architecture → implementation → deployment, with a strong focus on maintainability, correctness, performance, and the experience of the people using the product.
- Software Engineering — clean architecture, maintainable code, APIs, testing, and reliable services
- AI / ML — machine learning, financial scoring, signal processing, LLM-powered applications, and intelligent automation
- Full Stack Development — data pipelines, backend services, APIs, and responsive interfaces
- Data Engineering — ETL workflows, validation, financial data processing, and analytics
- Product Engineering — starting with the user problem and iterating toward measurable outcomes
| Domain | Proficiency | Details |
|---|---|---|
| Machine Learning | 🟣 Advanced | Supervised learning, feature engineering, model evaluation, and scoring systems |
| Data Engineering | 🟣 Advanced | ETL pipelines, batch processing, validation, and financial data modelling |
| LLM Applications | 🟣 Advanced | Prompt engineering, structured outputs, retrieval workflows, and agentic applications |
| Signal Processing | 🔵 Intermediate | Time-series analysis, filtering, signals, and systems fundamentals |
| Quantitative Finance | 🔵 Intermediate | Equity fundamentals, portfolio analytics, risk, and financial health indicators |
| MLOps | 🔵 Intermediate | Reproducible pipelines, containerized deployment, and CI/CD for data workflows |
Clarityy AI — Portfolio Analytics Platform
A full-stack portfolio analytics platform focused on giving Indian retail investors deeper visibility into their holdings and portfolio health.
| Category | Details |
|---|---|
| Stack | Python · TypeScript · React · Next.js · PostgreSQL · REST APIs |
| Scale | Indian retail investment workflows |
| Performance | Analytics-oriented data pipelines and responsive dashboard workflows |
| Security | Authenticated access · input validation · controlled data access |
| Impact | Portfolio analytics and financial intelligence for retail investors |
| Repository | Internal / project-specific repository |
Engineering Focus
- Portfolio data ingestion
- Analytics services
- Financial indicators
- Full-stack dashboard development
- Data validation
- Product-oriented financial tooling
Financial Health Index — Nifty 200 Pipeline
A financial analytics pipeline designed to calculate a normalized Financial Health Index across companies in the Nifty 200 universe.
| Category | Details |
|---|---|
| Stack | Python · Pandas · NumPy · SQL · Data Pipelines |
| Scale | Nifty 200 constituents |
| Performance | Automated batch-oriented processing |
| Security | Validated inputs · reproducible processing · controlled data sources |
| Impact | Converts financial fundamentals into comparable company-level health indicators |
| Repository | Internal / project-specific repository |
Engineering Focus
- Financial data processing
- Feature engineering
- Normalization
- Missing-data handling
- Batch processing
- Quantitative scoring
Nexus — AI Stock Intelligence
An AI-oriented stock research concept focused on bringing quantitative signals, financial data, and narrative intelligence together into a single research workflow.
| Category | Details |
|---|---|
| Stack | Python · TypeScript · React · LLM APIs · PostgreSQL |
| Scale | Indian listed equities |
| Performance | Data refresh and AI query workflows |
| Security | Server-side secret management · rate limiting · controlled prompts |
| Impact | Designed to reduce the friction between raw market data and investment research |
| Repository | Project repository |
Engineering Focus
- AI-assisted financial research
- Quantitative signals
- LLM integration
- Structured data
- Research automation
- Product-oriented interface design
Java Engineering Projects
A collection of Java projects built to strengthen object-oriented programming, application architecture, data structures, and software-engineering fundamentals.
| Project | Focus |
|---|---|
| TextIT | Java · OOP · Application Architecture |
| BudgetBuddy | Expense Management · Data Modelling · OOP |
| Eclipsera: The Final Rebellion | Multiplayer Logic · Game State · OOP |
Engineering Focus
- Object-oriented programming
- Classes and objects
- Data structures
- Application state management
- Modular design
- Interactive software systems
2026 — Present
Working on software engineering and product development for financial analytics and portfolio intelligence.
- Develop full-stack functionality across data ingestion, analytics services, and frontend interfaces
- Work on the Financial Health Index pipeline for Nifty 200 companies
- Build and improve data processing and validation workflows
- Translate product requirements into technical implementations
- Work with financial datasets and analytics pipelines
- Explore AI-assisted workflows for financial research and product automation
- Collaborate on architecture, debugging, testing, and iterative delivery
| Recognition | Details |
|---|---|
| State-Level Hackathon | Participated in a state-level hackathon with a software project |
| Product Building | Building and experimenting with software products and startup ideas |
| AI Engineering | Developing practical applications around AI, LLMs, automation, and data |
| Engineering Projects | Hands-on work across Java, full-stack development, data, and AI |
Learning:
- Production LLM systems and evaluation
- Advanced software engineering
- Data structures and algorithms
- System design
- Financial data engineering
Building:
- Portfolio analytics systems
- Financial Health Index workflows
- AI-powered developer workflows
- Full-stack applications
- Automation systems
Exploring:
- Agentic AI workflows
- AI-assisted financial research
- Intelligent automation
- Scalable backend architecture
- Product engineering
- Open source
Open_To:
- Software engineering opportunities
- AI / ML engineering
- Full-stack development
- Product-minded engineering teams
- Open source collaboration
- Technical collaborations
Ship with rigor. Build with empathy. Measure what matters.