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I'm an Assistant Manager – IT & Implementations at Bizloan India, a Loan-Against-Property NBFC in Gurugram, and a B.Tech (Computer Science) graduate transitioning into full-stack product engineering. My work sits where lending operations meet software: I lead the IT workstream for a Loan Origination System (LOS) build, integrate credit, KYC and banking APIs into live lending journeys, and build internal tools that credit and operations teams use every day.
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Languages
Frontend
Backend & Data
Cloud, DevOps & Tools
Hands-on experience across the NBFC loan lifecycle, from sourcing to disbursement:
| Lending stage | What I've worked on | Systems & APIs |
|---|---|---|
| Sourcing & CRM | CRM rollout for the sales team, lead-generation infrastructure, automated customer journeys | Sales CRM · WhatsApp Business API |
| Onboarding & KYC | Identity and business verification flows, CKYC compliance coordination | Karza KYC · CKYC · Gridlines (Udyam / MSME) |
| Financial Analysis | Consent-based bank data retrieval and bank-statement analysis | Account Aggregator (Sahamati) · Perfios |
| Credit Assessment | Bureau report parsing, credit dashboards, AI-assisted bureau analysis | CRIF High Mark · CIBIL · Anthropic API |
| Decisioning | Rules-engine integration into the underwriting flow | Business Rules Engine |
| Origination Platform | Leading IT for a merger-driven LOS build — requirements, vendor coordination, UAT | Loan Origination System |
| Disbursement & Payments | Tranche-disbursement modules, online fee collection | Easebuzz payment gateway |
| Data & Infrastructure | Production database access governance, AWS environments, data-lake design exploration | AWS EC2 / S3 · PostgreSQL · Parquet · Athena |
Also comfortable with: EMI / IRR and reducing-balance loan math (Python & Excel), Google Apps Script automation, IT vendor evaluation, and training L1 support staff.
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Turns CRIF High Mark credit-report PDFs into an interactive credit dashboard: score gauge, trade lines with DPD history, inquiry timeline, utilisation, plus a multi-sheet Excel export.
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Interview-preparation platform with aptitude training, coding practice, mock tests with performance tracking, downloadable resources, a blog, and authenticated user profiles.
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Personal portfolio with a live GitHub project feed, dark/light theme and a working contact form.
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Structured study repository covering Python, NumPy/Pandas, SQL (joins through window functions), statistics, and two end-to-end analysis projects.
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Internal tools built at work (not public)
- CreditLens AI — LLM-assisted credit-bureau analysis for underwriters with Excel export · React, FastAPI, Anthropic API
- Udyam / MSME Portal — production portal for batch-fetching MSME registration details via the Gridlines API · Python, Streamlit
I'm open to full-stack and backend engineering roles at fintech and lending-tech companies, particularly teams building loan origination, credit decisioning or account-aggregator products. I bring both the engineering and a working understanding of how an NBFC operates.
