About

Work Experience

• Software Engineer, 

  Jun, 2025 - Present

  • Optimized enterprise-scale pricing engines and business logic using Python, reducing processing latency by 60% for high-volume transactions.

  • Architected modular data validation pipelines bridging legacy systems with modern RESTful APIs, ensuring data integrity across the SDLC.

  • Implemented Automated CI/CD Workflows and standardized testing protocols, significantly reducing production bugs and rollback rates.

  • Designed and maintained responsive, dynamic UI components using React.js to provide real-time visibility into backend configurations.

  • Refactored monolithic legacy codebases into maintainable, object-oriented modules while enforcing strict security and performance standards.

• Software Developer (Full Stack), 

  Jul, 2023 - May, 20251 year 11 months

  • Managed the full software life cycle for a high-traffic Food E-commerce platform using Python, Node.js, and MongoDB.

  • Executed database tuning and indexing strategies, achieving a 40% reduction in API response times for critical administrative dashboards.

  • Developed real-time order processing systems and event-driven architectures using Kafka to synchronize data across multiple distributed outlets.

  • Built secure payment gateway integrations and authentication modules with a focus on robust cybersecurity and data privacy.

  • Engineered modular frontend components in React.js to deliver a seamless and performant user experience across devices.

Projects Experience

• Oriz — 1000+ Free Online Tools Platform

  - Present

  • Engineered a production-grade full-stack platform (oriz.in) with 192+ client-side tools across 8 categories (PDF, Image, Cryptography, Developer, SEO, Calculators, Network, Social) using Astro, React, TypeScript, and Tailwind CSS, deployed on Cloudflare Pages.

  • Built a real-time data API marketplace with 69 Python web scrapers across finance, crypto, weather, sports, and news domains, orchestrated by 5 GitHub Actions CI/CD pipelines with scheduled cron jobs.

  • Integrated 10 AI/LLM providers (Gemini, Groq, Mistral, Cohere, NVIDIA NIM, OpenRouter, Cerebras, HuggingFace) into a unified chatbot interface with provider-agnostic abstraction and intelligent fallback routing.

  • Architected multi-cloud backend: Firebase (Auth + Firestore), Supabase, Turso (LibSQL), Upstash Redis, Cloudflare R2, Algolia Search, Sanity CMS, and Razorpay payment gateway with webhook-driven order verification.

  • Implemented 40+ cryptographic hash algorithms, client-side encryption (AES/DES/3DES/RC4), Kinde Auth (PKCE), Firestore security rules, and 100% client-side processing for maximum user privacy.

  • Built 8 serverless edge functions on Cloudflare Workers handling comments, ratings, file uploads (R2), email dispatch, reCAPTCHA verification, payment webhooks, and view tracking.

• NexusAI - Multi-Agent RAG Platform

  - Present

  • Architected an Agentic AI Platform using LangGraph that orchestrates multiple autonomous LLM agents to solve complex coding tasks.

  • Implemented a Graph-based RAG pipeline using Neo4j and Vector Embeddings to provide high-precision context retrieval for enterprise documentation.

  • Deployed the system on Kubernetes with auto-scaling capabilities to handle concurrent agent execution threads in a cloud-native environment.

• TubeDigest - Multimodal Sponsor Detection

  - Present

  • Developed a high-performance AI engine to detect sponsor segments using Hugging Face Transformers and multimodal analysis (Audio + Text).

  • Fine-tuned a T5 Model and optimized inference speed by 3x using ONNX Runtime and dynamic quantization techniques.

  • Built a scalable Flask microservice to process real-time video streams with sub-second latency, incorporating secure API endpoints.

• Olivia - Edge AI Voice Assistant

  - Present

  • Engineered a privacy-first Virtual Assistant utilizing Local LLMs (Llama-3) for intent classification and complex command execution.

  • Implemented an Edge Computing architecture to process voice commands locally, eliminating cloud latency and ensuring offline functionality.

  • Designed a plugin-based system enabling seamless integration with IoT devices and system automation scripts, with secure data handling.

• Crawl4AI - Distributed RAG Ingestion

  - Present

  • Designed a Distributed Web Crawler utilizing Redis Task Queues to ingest massive datasets for LLM training pipelines.

  • Implemented intelligent stealth drivers and proxy rotation to bypass enterprise-grade WAFs and anti-bot protections.

  • Optimized data parsing algorithms to convert unstructured HTML into structured JSON/Markdown for Vector Database ingestion, ensuring data security.

• CloudLens - Serverless Event Pipeline

  - Present

  • Designed an Event-Driven Architecture on AWS Lambda to automatically process and categorize high-volume media assets.

  • Implemented Infrastructure as Code (IaC) using Terraform to provision reproducible staging and production environments across AWS and Azure.

  • Integrated CloudWatch and Prometheus for full-stack observability and automated alert handling.

• StreamGuard - Real-Time Fraud Analytics

  - Present

  • Architected a scalable streaming pipeline using Apache Kafka to ingest and process 10k+ transaction events per second.

  • Developed PySpark microservices deployed on Kubernetes to detect fraud anomalies with sub-200ms end-to-end latency, incorporating ML models.

• OmniPublish - Content Orchestration Engine

  - Present

  • Architected a robust API Gateway using the Adapter Pattern to unify 17+ external platforms (LinkedIn, Twitter) into a single interface.

  • Implemented Circuit Breaker patterns and asynchronous retry mechanisms (Celery) to ensure fault tolerance across distributed APIs, with full-stack integration.

Skills

Education

Awards