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Senior Frontend Engineer with 5+ years in Frontend & AI systems
Senior Frontend Engineer with 5+ years of experience building scalable, high-performance enterprise applications across Fintech and ERP domains, combined with strong expertise in Full Stack AI/GenAI systems. Possess 3.5+ years of deep Angular expertise (Angular 8-18) with a strong focus on architecture, performance optimization, reusable component systems, and data-heavy enterprise UI applications. Hands-on experience designing and deploying AI-powered systems using LLMs, Retrieval-Augmented Generation (RAG), OCR pipelines, Vector Databases, and Multi-Agent Architectures to automate real-world business workflows. Proven track record of leading frontend teams, delivering production-grade applications, and engineering intelligent automation platforms using modern AI frameworks and scalable backend architectures.
SS Group of Institutions
Diploma · Computer Science
N/A – Present
Kurukshetra University
B.Tech · Computer Science
N/A – June 30, 2019
TalentOnLease Pvt. Ltd. (Client: Biz2X – Fintech Platform)
Angular Consultant (Contract)
September 1, 2025 – November 1, 2025
India
Sparx IT Solutions Pvt. Ltd.
Senior Software Engineer – Frontend (Angular)
April 1, 2022 – May 1, 2025
India
Reify Systems
Software Engineer – Frontend
December 1, 2019 – November 1, 2021
India
Compliance Guard – Enterprise GenAI & Document Orchestration Platform
June 27, 2026 – Present
Engineered a production-ready RAG-based document intelligence platform for transforming unstructured enterprise policies into an interactive and queryable knowledge base Built unified data architecture using PostgreSQL and pgvector, ensuring ACID compliance and centralized metadata/vector storage Developed asynchronous FastAPI orchestration backend for high-performance non-blocking AI workflows Implemented semantic retrieval pipeline using vector embeddings for concept-based policy search and contextual understanding Built enterprise frontend using Angular 18 with Signals and RxJS for real-time AI interactions and reactive state management Containerized the entire stack using Docker and Docker-Compose for deployment consistency and scalability Architected modular AI workflow foundation aligned with LangChain Runnable Chains for model-agnostic orchestration Designed roadmap for Stateful Agent workflows using LangGraph to support cyclic reasoning, self-correction, and adaptive query refinement Planned enterprise observability integration using LangSmith for tracing, monitoring, latency analysis, and LLM auditability Established evaluation strategy using RAGAS for automated measurement of Faithfulness, Answer Relevance, and Context Precision Designed hybrid retrieval architecture combining Vector Similarity Search with BM25 keyword retrieval for precision policy lookup
VCFO Platform (Fintech)
June 27, 2026 – Present
Worked within Micro-Frontend architecture for scalability Developed financial workflows and reporting features Integrated REST APIs for real-time data processing
SWBC Fintech Platform
June 27, 2026 – Present
Implemented secure API integrations for financial systems Built Angular UI for data-heavy workflows Developed dashboards and reporting modules Resolved production issues and improved stability
Quantum ERP (Maven ERP)
June 27, 2026 – Present
Developed ERP modules (Sales, Purchase, Contacts, Opportunity) Implemented reactive forms and modular architecture Built responsive UI for enterprise workflows
View ProjectMultichannel Management System
June 27, 2026 – Present
Built multi-channel sales management platform Integrated REST APIs for system synchronization Improved performance and stability via debugging
DevOps AI Agent (SRE Minion)
June 27, 2026 – Present
Built AI-powered DevOps platform for automated repository analysis and code improvement Developed GitHub App for automated PR generation using LLMs Implemented RAG pipelines using ChromaDB for contextual code understanding Orchestrated multiple LLMs using LiteLLM Built backend using FastAPI and automated workflows via n8n Deployed containerized services using Docker
View ProjectDigidab – AI-Powered E-commerce Operations Orchestrator
June 27, 2026 – Present
Built full-stack GenAI platform to automate invoice processing and workflows Integrated OCR (pytesseract) for structured data extraction from invoices Designed LLM pipelines to convert OCR output into structured JSON Implemented RAG using ChromaDB for context-aware extraction Developed multi-agent architecture (Admin + Worker Agents) Built FastAPI backend for real-time processing Developed Telegram bot interface for user interaction Automated workflows, reducing manual operational effort significantly Deployed scalable services using Docker
Cultural Fit Analysis
The candidate's diverse project experience, ranging from traditional enterprise frontend development to cutting-edge AI/GenAI full-stack projects, indicates a strong adaptability and willingness to explore new technologies. Their continuous learning in Angular 15-18 and AI/Frontend Integration Patterns shows a growth mindset. The blend of frontend specialization with full-stack AI capabilities suggests a versatile individual who can contribute across different areas and potentially mentor others in emerging technologies, fitting well into an innovative and collaborative culture.
Soft Skills & Operational Fit
The candidate's experience leading teams and defining coding standards suggests strong leadership and collaboration skills. Their work on critical production issues indicates problem-solving and reliability. The diverse project portfolio, including personal AI projects, demonstrates initiative and a proactive learning attitude. The ability to work with Micro-Frontend architectures and integrate complex APIs points to strong operational fit for scalable enterprise environments.