Help & Supportcareers@gravityer.com
AI Engineer with 3+ years in LLM-powered applications and Data Engineering.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
GenAI Engineer with 4+ years of experience building production-grade AI/ML systems, LLM-powered applications, and scalable data pipelines. Skilled in Generative AI, RAG architectures, multi-agent systems, Azure OpenAI, LangChain, LangGraph, and Data Engineering (PySpark, Azure Databricks). Proven track record delivering end-to-end AI solutions across enterprise environments.
Savitribai Phule Pune University
B.E. Computer Engineering · Computer Engineering
August 1, 2022 – June 30, 2022
HCLTech
GenAI Engineer
January 1, 2024 – Present
Pune, Maharashtra, India
HCLTech
Data Engineer
September 1, 2022 – December 1, 2023
Pune, Maharashtra, India
HR Exit Automation using Generative AI
January 1, 2024 – Present
Automated HR offboarding using Azure OpenAI — reduced manual effort by ~60%. Built multi-agent system with LangChain and LangGraph for exit workflow orchestration. Implemented RAG pipeline with FAISS and Azure OpenAI embeddings for HR policy retrieval. Orchestrated workflows using Azure Functions and Durable Functions for end-to-end automation. Developed REST APIs integrated with Azure Data Lake, Databricks, and enterprise HR systems.
Graph Genie – AI-based Telecom Recommendation Platform
September 1, 2022 – December 1, 2023
Built AI-driven telecom plan recommendation system based on budget, 5G usage, and calling preferences. Developed LLM-powered chatbot using LangChain and prompt engineering for customer interaction. Integrated STT and TTS for voice-based customer engagement. Built scalable PySpark pipelines on Azure Databricks processing millions of records daily. Designed data ingestion workflows with Azure Data Factory and Data Lake for AI/ML teams.
AI Fundamentals Certification
Unknown
January 1, 2024 – Present
Google Gemini for Google Workspace – Gemini Enterprise
January 1, 2024 – Present
Microsoft Azure Administrator – AZ-104
Microsoft
January 1, 2024 – Present
Prompt Engineering Certification
Unknown
January 1, 2024 – Present
Microsoft Azure Fundamentals – AZ-900
Microsoft
January 1, 2024 – Present
Python Programming Certification
Unknown
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's project experience demonstrates a strong alignment with modern AI/ML and data engineering practices, which is a good fit for innovative tech environments. The diversity of projects (HR automation, telecom recommendations) shows adaptability and a broad interest in applying AI across different domains. The continuous pursuit of certifications (Azure, Python, Prompt Engineering, AI Fundamentals) indicates a proactive learning mindset, which is a positive cultural indicator. The target roles listed also align well with the demonstrated skill set and experience.
Soft Skills & Operational Fit
The candidate's resume highlights experience in end-to-end AI solution delivery and automation, suggesting a results-oriented approach. The description of building recommendation systems and chatbots implies customer-centric problem-solving. The use of multi-agent systems and workflow orchestration indicates an ability to design complex, integrated solutions. However, without direct assessment data on communication, teamwork, or problem-solving under pressure, a comprehensive evaluation of soft skills and operational fit is limited.