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Full Stack Engineer with 7+ years in AI/ML, MERN Stack & Cloud
Innovative Senior Full-Stack Developer with 8+ years of proven expertise in designing and implementing enterprise-scale MERN stack applications, AI-powered solutions, and cloud-native architectures. Specialized in developing sophisticated multi-agent AI systems, including orchestrator agents, RAG (Retrieval-Augmented Generation) agents, and autonomous workflow automation using Azure OpenAI, LangChain, and Semantic Kernel. Demonstrated success delivering mission-critical solutions for Fortune 500 clients including Coca-Cola, The Home Depot, Verizon, and Apple. Expert in React.js, Node.js, Python, and Microsoft Azure ecosystem with strong proficiency in building scalable microservices, implementing intelligent search solutions, and optimizing cloud infrastructure. Proven track record of reducing operational costs by 40%, improving processing efficiency by 75%, and enhancing user experience through AI-driven innovations.
Accredited Engineering College
Bachelor of Technology (B.Tech) · Computer Science Engineering
N/A – Present
Infosys Limited
Senior Associate Consultant
October 1, 2023 – Present
India
Infosys Limited
Associate Consultant
January 1, 2021 – September 1, 2023
India
Cognizant Technology Solutions
Programmer Analyst
July 1, 2019 – December 1, 2020
India
Cognizant Technology Solutions
Programmer Analyst Trainee
September 1, 2018 – July 1, 2019
India
OFAC SDN Automation Platform
June 1, 2026 – Present
Architected and delivered an end-to-end intelligent automation platform that monitors the OFAC (Office of Foreign Assets Control) SDN (Specially Designated Nationals) list from the FIS portal and orchestrates the full installation and verification lifecycle through ServiceNow and LEAP database. Designed event-driven pipeline triggered by open ServiceNow tickets: upon detecting a new OFAC update ticket, the system automatically initiates the download of SDN data from the FIS portal, performs installation across target systems, and executes multi-step verification checks. Built 6 specialized batch jobs handling distinct pipeline stages - FIS portal scraping (circumventing firewall restrictions via BeautifulSoup), SDN file download, data parsing and normalization, Azure SQL ingestion via pyodbc, LEAP DB update, and post-verification status sync. Leveraged Python Playwright with Chrome DevTools Protocol (CDP) to automate browser interactions against the FIS portal using an existing Chrome installation, avoiding driver installation constraints on restricted Windows Server / Azure VM environments. Integrated bidirectional ServiceNow API callbacks to automatically close incidents upon successful verification, with structured error handling and escalation flows for failed runs, ensuring full audit traceability within the ITSM system. Connected automation pipeline to LEAP datasources via secure Azure SQL queries, maintaining synchronized records of SDN update history, installation timestamps, and verification outcomes across all downstream databases. Reduced manual OFAC compliance update effort from several person-hours per cycle to near-zero human intervention, significantly lowering operational risk and ensuring timely regulatory compliance.
CRG Incident Management Chatbot
June 1, 2026 – Present
Designed and developed an AI-powered conversational chatbot for Country Road Group (CRG) to streamline incident management workflows and provide intelligent self-service query resolution for IT and operations teams. Built RAG-based (Retrieval-Augmented Generation) architecture using LangChain and Azure OpenAI to enable the chatbot to answer incident-related queries with high accuracy by retrieving context from a curated enterprise knowledge base of past incidents, runbooks, and resolution guides. Integrated chatbot directly with ServiceNow APIs to support real-time incident lifecycle operations - including incident creation, status lookups, priority updates, assignment routing, and resolution - all through natural language conversation. Implemented intent classification and entity extraction using NLP to accurately interpret user queries ranging from 'show me open P1 incidents' to 'what's the resolution for incident INC0045231', providing structured and actionable responses. Developed multi-turn conversation handling with context preservation across sessions, allowing users to drill down into incident details, request updates, and trigger workflows without losing conversational continuity. Built React.js-based chat interface integrated into the internal support portal, with real-time response streaming, incident card rendering, and escalation shortcuts enabling one-click ticket creation or assignment. Reduced average incident query resolution time by ~65% and lowered Level-1 support ticket volume by enabling frontline staff to self-serve common incident queries and status checks through the chatbot.
Microsoft Azure AI Engineer
Unknown
June 1, 2026 – Present
Azure Cloud Professional
Unknown
June 1, 2026 – Present
Generative AI Certified
Unknown
June 1, 2026 – Present
MERN Stack Certified
Unknown
June 1, 2026 – Present
Open Source Vue.js
Unknown
June 1, 2026 – Present
Infosys Power Programming
Infosys
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across multiple large consulting firms (Cognizant, Infosys) and diverse projects for major clients (Coca-Cola, The Home Depot, Verizon, Apple) indicates adaptability and exposure to various organizational cultures and client demands. Their specialization in AI/ML and full-stack development, combined with a strong focus on enterprise solutions, aligns well with a forward-thinking, innovation-driven culture. The breadth of technologies and problem domains tackled suggests a versatile and growth-oriented individual.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving abilities, a proactive approach to innovation (AI/ML leadership), and a results-oriented mindset, as evidenced by quantifiable achievements in cost reduction and efficiency improvements. Their experience in Agile environments and peer code reviews suggests good collaboration and quality assurance practices. The project descriptions indicate an ability to handle complex, multi-step workflows and integrate diverse systems, which aligns well with operational demands for a senior role.