Help & Supportcareers@gravityer.com
AI Engineer with less than a year in Data Analytics, Python, SQL, and FastAPI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Final-year B.E. student in Artificial Intelligence & Data Science with hands-on experience in data analytics, CRM integrations, and SaaS backend development. Proficient in Python, SQL, Power BI, and FastAPI, with demonstrated ability to build data pipelines, automate reporting workflows. Adept at translating business requirements into actionable insights and production-ready systems. Passionate about advancing AI systems that reason reliably, operate at scale, and align with human intent.
Marathwada Mitra Mandal's College of Engineering, Pune
Bachelor of Engineering · Artificial Intelligence and Data Science
August 1, 2022 – June 30, 2026
Sonopant Dandekar Shikshan Mandali (SDSM) College
Higher Secondary Education
June 1, 2020 – May 31, 2022
Chistats
Data Engineer Intern
January 1, 2026 – April 1, 2026
India
LeadFlow Tech
Data Analytics Intern
October 1, 2025 – December 1, 2025
India
StartScope – Startup Intelligence Platform
January 1, 2025 – December 31, 2025
Architected a 4-agent AI orchestration pipeline (LangGraph StateGraph) covering market sizing, competitive analysis, risk assessment, and strategic advisory, reducing research turnaround from hours to under 90 seconds. Designed a shared typed state schema for sequential context propagation across all agents, enabling each node to synthesize prior outputs and eliminating redundant API calls, improving coherence and reducing token cost. Served pipeline outputs via a FastAPI REST endpoint with Pydantic validation and a Streamlit UI with downloadable markdown reports, delivering a production-ready SaaS-style research tool.
Cultural Fit Analysis
The candidate's project diversity, ranging from data analytics to multi-agent AI orchestration, indicates adaptability and a broad interest in different technical domains. The target role of 'AI Engineer' aligns well with the candidate's academic background in AI and Data Science, as well as their recent project work. The experience in both data analytics and data engineering, coupled with AI-specific projects, suggests a versatile individual who can contribute across different stages of the AI development lifecycle. The candidate's involvement in a multi-tenant SaaS AI platform during an internship also points to an understanding of enterprise-level solutions and collaborative environments.
Soft Skills & Operational Fit
The candidate's project and work experience descriptions indicate a proactive approach to problem-solving and a focus on delivering tangible business value (e.g., reducing research turnaround, improving auto-selection rates, saving time). The emphasis on 'production-ready SaaS-style research tool' and 'policy-driven RBAC access control layer' suggests an understanding of operational requirements and system robustness. The candidate's passion for 'advancing AI systems that reason reliably, operate at scale, and align with human intent' aligns well with a forward-thinking operational mindset.