Flutter Developer & UI/UX Designer - MAKK Finsol IMF
- Production App Delivery: Architected and delivered an end-to-end cross-platform Flutter application for Android & iOS to empower insurance field agents in managing leads, client onboarding, and policy records.
- End-to-End UI/UX: Designed intuitive UI wireframes and high-fidelity mockups in Figma, translating them into pixel-perfect, responsive Flutter screens with dynamic multi-step form validation and error handling.
- API & State Integration: Integrated RESTful services for secure authentication, real-time lead synchronization, and server communication with robust offline resilience and network retry logic.
- Workflow Optimization: Optimized navigation architecture and user flows, significantly reducing data capture time for field agents and ensuring seamless cross-device responsiveness.
UI/UX Product Designer - Manasarkar
- Multi-Module Architecture: Spearheaded the complete product design lifecycle for a comprehensive news platform, designing specialized modular workflows for Reporters, Advertisers/Contributors, and End Users.
- Reporter Experience: Engineered field-reporting workflows enabling on-ground journalists to draft articles, attach multimedia assets (images/video), and track publishing status with low friction.
- Contributor Module: Designed self-service ad campaign submission interfaces with budget, target audience, and banner placement configuration.
- Consumer Feed UI: Crafted a modern, accessible news reader interface featuring categorization (Regional, National, International), customizable typography, and seamless dark/light theme switching.
- Design System: Built a comprehensive Figma design system containing reusable component libraries, interactive micro-interactions, responsive grids, and detailed developer handoff specs.
Mobile Application Developer
(1972 - 2026)
Election Analytics & Search Platform
- Historical Data Engine: Engineered a high-performance cross-platform Flutter application providing searchable access to over 50 years of electoral records for Andhra Pradesh and Telangana.
- Offline Database & Latency: Architected and optimized an offline SQLite database schema with multi-column indexing, achieving sub-100ms query search latency across decades of election records.
- Search & Filter Features: Built an intuitive multi-parameter search system enabling voters and researchers to filter data instantly by constituency, candidate, political party, and election year.
- Performance Tuning: Implemented responsive data visualization components and fluid list navigation, ensuring smooth 60fps scrolling on lower-end mobile devices.
Python Automation & Data Engineer
Electoral Roll & Document OCR Pipeline
- Batch Web Automation: Engineered an automated end-to-end extraction pipeline using Selenium WebDriver to batch-download thousands of official Electoral Roll PDF documents.
- OCR & Vision Preprocessing: Developed a high-precision computer vision pipeline in OpenCV (adaptive thresholding, noise removal, deskewing, and contour cropping) to maximize Tesseract OCR text accuracy on low-quality scans.
- Deduplication & Structuring: Programmed intelligent parsing algorithms in Pandas & OpenPyXL to extract voter metadata, generate Family IDs, flag duplicate entries, and export clean structured datasets to Excel.
- High-Throughput Processing: Implemented multi-threading and batch processing utilities, reducing manual data processing time by over 90% while optimizing CPU and memory utilization.
Data Engineering Specialist
Healthcare & E-Commerce Scraping System
- Multi-Platform Scraping: Engineered robust distributed scraping scripts to harvest product pricing, specifications, and availability from major platforms (Tata 1mg, Apollo Pharmacy, Flipkart Health+, Surginatal).
- ETL & Data Cleaning: Built automated cleaning and normalization pipelines to convert raw, unstructured web responses into actionable market intelligence datasets.
