Help & Supportcareers@gravityer.com
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer with 1+ years in Agentic AI, Multi-Agent Systems & Full-Stack Development
M.Tech Artificial Intelligence and Data Science candidate with hands-on experience in agentic Al, multi-agent systems, portfolio governance, quantitative finance, explainable Al, and full-stack development. Built an Agentic Al Portfolio Governance Chatbot and Multi-Agent Adaptive Portfolio Governance System using specialized agents for planning, data retrieval, technical analysis, market-regime detection, instability analysis, portfolio optimization, governance validation, explainability, and verification. Research manuscripts submitted to Elsevier EAAI and Springer conference proceedings are currently under review. Skilled in Python, LangChain/LangGraph, CVXPY, NetworkX, MongoDB, React, Next.js, Flask, REST APIs, financial risk analytics, and compliance-aware Al systems.
KJ Somaiya College of Engineering
M.Tech · Artificial Intelligence and Data Science
August 1, 2024 – June 30, 2026
Presidency University
B.Tech · Electronics and Communication Engineering
August 1, 2019 – June 30, 2023
Sri Chaitanya Junior College
Intermediate, MPC
June 1, 2017 – May 31, 2019
T V N R M National High School
10th Grade
June 1, 2016 – May 31, 2017
KJ Somaiya College of Engineering
Thesis Researcher - Agentic AI Portfolio Governance
October 1, 2025 – April 1, 2026
Mumbai, Maharashtra, India
ScholarRankAI
Full-Stack Developer Intern
May 1, 2025 – August 1, 2025
India
MNJ Software Pvt. Ltd.
UI/UX Developer Intern
March 1, 2024 – May 1, 2024
Mumbai, Maharashtra, India
Multi-Agent Adaptive Portfolio Governance System
January 1, 2026 – April 1, 2026
Designed a financial decision-intelligence system combining agentic orchestration, risk-aware portfolio construction, regime-aware adaptation, instability detection, optimization, explainability, governance checks, and response verification. Built the system to support safer financial reasoning through evidence-backed responses, governance approval checks, transparent explanations, and audit-ready outputs.
Agentic AI Portfolio Governance Chatbot
October 1, 2025 – April 1, 2026
Built a personal chatbot for stock portfolio management using a multi-agent AI framework with planning, data retrieval, technical analysis, regime detection, instability analysis, portfolio optimization, governance validation, explainability, verification, and response generation agents. Implemented audit logs, confidence scores, evidence tracking, source grounding, anti-hallucination controls, and compliance-aware outputs. Stack: Python, LangChain/LangGraph, CVXPY, CLARABEL, NetworkX, MongoDB, Gradio, Ollama, Mistral-7B, YFinance, NumPy, Pandas, SciPy.
Personalised AQI – Global Air Quality Forecasting System
February 1, 2023 – March 1, 2025
Built a full-stack AQI forecasting platform using live AQICN.org data to predict city-level air quality and pollutant trends worldwide. Implemented ML models for AQI, PM2.5, O3, and NO2 forecasting with explainable health-risk insights. Designed a Next.js dashboard for real-time and predicted AQI trend visualization across cities, states, and countries. Stack: Next.js, Python, Flask, MongoDB, Machine Learning, Explainable AI, AQICN API.
Swarm Robots for Agriculture
August 1, 2022 – July 1, 2023
Built a swarm robotics agriculture project using embedded systems, IoT sensors, autonomous coordination, and image-processing concepts. Worked on plant disease detection, sensor-based monitoring, robot coordination, and agriculture-focused automation. Combined electronics, communication systems, computer vision concepts, and embedded implementation for agricultural assistance.
Smart Manager Certificate
CII
June 1, 2026 – Present
Python Programming
Unknown
June 1, 2026 – Present
Machine Learning
Unknown
June 1, 2026 – Present
C Programming
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a diverse project portfolio, ranging from financial AI and environmental forecasting to robotics and full-stack development. This breadth of interest and application of skills suggests adaptability and a willingness to explore different domains. The academic background in AI and Data Science, coupled with practical project experience, aligns well with a culture that values continuous learning and innovation. The focus on explainable and governed AI systems also indicates an alignment with ethical AI development practices.
Soft Skills & Operational Fit
The candidate's project descriptions highlight an ability to work on complex, multi-faceted systems, suggesting strong problem-solving and analytical skills. Participation in Agile stand-ups and code reviews indicates an understanding of collaborative development practices. The focus on explainability, governance, and compliance in AI projects points to a responsible and detail-oriented approach, which is beneficial for operational fit in regulated industries.