Vikas Deshmukh
Fullstack Engineer - AIAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Fullstack Engineer - AI with 4+ years in MERN stack & LLM-based systems.
Full Stack Developer / Gen AI Developer with 4.9 years of professional experience in designing, developing, and deploying scalable web and AI-powered applications. Currently working at ESDS Software Solutions Ltd., Nashik, with deep expertise in the MERN stack, Next.js, and modern frontend frameworks. Strong hands-on experience in building enterprise-grade AI systems including document-aware chatbots, RAG pipelines, agentic workflows, and LLM integrations using tools such as LangChain, LangGraph, OpenAI SDK, Claude, Gemini, Ollama, Vector Databases, and Graph DBs. Proficient in developing secure RESTful APIs, implementing JWT-based authentication, rate limiting, and centralized error handling. Experienced in containerization and CI/CD using Docker, Docker Compose, and GitLab CI, with strong exposure to PostgreSQL, MySQL, and Sequelize ORM. Adept at Agile Scrum methodologies, cross-functional collaboration, and delivering high-quality, production-ready solutions that balance performance, scalability, and security.
Amravati University
Master of Engineering
N/A – Present
Amravati University
Bachelor of Engineering
N/A – Present
ESDS Software Solution Ltd
Full Stack Developer / Gen AI Developer
April 1, 2025 – Present
Nashik, Maharashtra, India
Novelti Solutions Pvt. Ltd.
Full Stack Developer
July 1, 2023 – April 1, 2025
Bengaluru, Karnataka, India
Smartwork Ideas Pvt. Ltd.
Jr. MERN Stack Developer
August 1, 2021 – July 1, 2023
Pune, Maharashtra, India
Agentic AI RFP Analysis Platform
June 10, 2026 – Present
Built an AI-powered presales platform for RFP (Request for Proposal) analysis with a React dashboard and Node.js API. Integrated Claude Sonnet 4 via OpenRouter for document analysis, interactive chat, and synopsis generation. Implemented structured analysis flows (Cloud RFP and Software RFP) with 131+ predefined questions. Delivered document upload and parsing (PDF, Word, Excel, images up to 25MB) using Multer and multipart/form-data, with validation (Joi/Zod) and JWT-based auth. Designed REST API layer with rate limiting, Helmet, CORS, and error handling; used PostgreSQL and Sequelize for users, documents, chat sessions, and analysis results. Containerized frontend and backend with Docker and Docker Compose; added GitLab CI for build and and deploy.
Banking Professional Membership Application System
June 10, 2026 – Present
Developed comprehensive membership system with candidate portal and admin panel. Implemented microservices architecture with member-service and admin service endpoints. Built robust API service layer with timeout handling, error management, and file upload functionality using multipart/form-data. Features include member registration workflows, document management, and payment integration with comprehensive validation and state management.
Automotive Certificate Issuance Application
June 10, 2026 – Present
This web-based application facilitates the end-to-end process of obtaining various automotive certificates. It streamlines tasks such as registration, case management, verification, payment, and certificate issuance while complying with regulatory requirements.
Candidate Interview Management System
June 10, 2026 – Present
This comprehensive web-based application optimizes the recruitment process with five primary portals: Admin Portal, Recruiter Portal, Interview Portal, Candidate Portal, and a landing page. By integrating AI-driven interviews and a seamless workflow, the system ensures accuracy, efficiency, and scalability for recruitment teams.
AI-Powered Enterprise Chat & Document Assistant (ESDS AI)
June 10, 2026 – Present
Built an AI-powered enterprise chat platform with a React dashboard and Node.js API. Integrated Ollama (Qwen 2.5) for document-aware chat, streaming responses, and document generation (PDF/Word). Implemented RAG with Qdrant vector store and LangChain for retrieval-augmented generation. Delivered document upload and parsing (PDF, Word, CSV, TXT, JSON, images) using Multer and MinIO with custom validation middleware and JWT auth. Designed REST API with rate limiting (express-rate-limit), Helmet, CORS, and centralized error handling; used PostgreSQL and Sequelize for users, conversations, messages, files, and shared conversations. Added query routing for document-generation intents and guardrails for content moderation. Containerized frontend and backend with Docker; used GitLab CI for build and push to container registry.
Cultural Fit Analysis
The candidate's project portfolio demonstrates a strong alignment with the 'Fullstack Engineer - AI' target role, showcasing diverse AI-driven applications (enterprise chat, RFP analysis, interview management). The breadth of technologies used (various LLMs, vector stores, frameworks) and the focus on scalable, secure, and AI-powered solutions indicate a proactive and innovative mindset. Experience with Agile Scrum and cross-functional collaboration further supports a good cultural fit for dynamic engineering teams.
Soft Skills & Operational Fit
The candidate's project descriptions indicate strong collaboration skills, active participation in Agile Scrum, and close work with stakeholders and QA teams. This suggests a good operational fit for team-oriented, fast-paced development environments. The detailed project descriptions also show a methodical approach to problem-solving and a focus on delivering high-quality, production-ready solutions.