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AI Engineer with 1+ years in AI/ML systems & data science.
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AI/ML Engineer with proven experience building and deploying multi-agent AI systems, large language model (LLM) applications, and end-to-end machine learning pipelines using Python, CrewAI, FastAPI, Groq API, LLAMA, and AWS. Shipped two live AI products — a multi-agent stock intelligence platform (5 CrewAI agents, dual-LLM) and QueryMind (NLP-powered BI chatbot cutting analytics cycles by 99%). Pursuing MBA in AI & Data Science (2026). Seeking an AI Engineer role to design and deploy production-grade intelligent systems at scale.
Graphic Era Deemed to be University
Master of Business Administration (MBA) · AI and Data Science
July 1, 2024 – June 1, 2026
Indira Gandhi National Open University (IGNOU)
Bachelor of Science (B.Sc.) · Mathematics, Physics, Geology
June 1, 2020 – December 1, 2023
Excelerate
Data Analyst Trainee Intern
August 1, 2025 – September 1, 2025
India
Tech Mahindra
Customer Support Associate
July 1, 2022 – April 1, 2023
India
Reliance Retail
Junior Associate
February 1, 2022 – June 1, 2022
Dehradun, Uttarakhand, India
Multi-Agent Stock AI Platform
May 1, 2025 – June 1, 2025
Architected a production-ready multi-agent AI system with 5 collaborative CrewAI agents (Market Data Researcher, Financial News Analyst, Technical Analyst, Chief Risk Officer, Senior Equity Analyst) autonomously synthesising Buy/Hold/Sell investment calls with real-time SSE-streamed reasoning. Engineered dual-LLM gating across Groq Llama 3.1 and Nous Research for fault-tolerant inference and zero-downtime fallback; deployed FastAPI backend on Hugging Face Spaces and React + Vite frontend on Vercel.
ETH Price Forecasting: LSTM vs XGBoost
April 1, 2025 – May 1, 2025
Trained a two-layer LSTM (50 units/layer, 20% dropout) and XGBoost regressor on ETH-USD daily OHLCV prices (2018-2023); XGBoost outperformed with MAPE 3.36% vs LSTM's 3.85%. Deployed interactive Streamlit dashboard with real-time forecast visualisation, date range controls, and side-by-side model performance comparison.
AWS S3 + Snowflake Cloud Data Pipeline
April 1, 2025 – April 1, 2025
Built an end-to-end cloud data pipeline: configured IAM roles and policies, Snowflake external stages and storage integrations, and automated CSV ingestion from S3 into structured Snowflake tables.
QueryMind
March 1, 2024 – May 1, 2024
Built a live AI business intelligence chatbot enabling natural language to SQL conversion with zero SQL knowledge required, cutting analytics cycles from 5 days to 5 minutes (99% faster); estimated to save ~$655K/year in analyst costs for a mid-sized organisation. Implemented multi-file CSV/Excel join with AI-scored column matching, smart data cleaning engine, 6-chart auto-visual analytics, PDF report generator, and thread-safe SQLite with auto-failover LLM.
AWS Well-Architected Proficient
Amazon Web Services
May 1, 2026 – Present
AWS Cloud Quest: Cloud Practitioner
AWS Cloud Quest
October 1, 2025 – Present
AWS Knowledge: Cloud Essentials
AWS Knowledge
October 1, 2025 – Present
Design Thinking: A Primer
IIT Madras / NPTEL
September 1, 2025 – Present
Data Analytics with Python
IIT Roorkee / NPTEL
May 1, 2025 – Present
Big Data Foundations Level 1
IBM
May 1, 2025 – Present
Python for Data Science & AI
IBM / Coursera
March 1, 2025 – Present
Professional Certificate in Agile & SCRUM
Udemy
March 1, 2025 – Present
Gen AI Job Simulation
BCG
February 1, 2025 – Present
Data Analytics Job Simulation
Deloitte
February 1, 2025 – Present
Cultural Fit Analysis
The candidate shows a strong drive for self-improvement and learning, as evidenced by numerous certifications and pursuing an MBA in AI & Data Science. The personal projects demonstrate initiative and a passion for applying AI/ML concepts to real-world problems. While the professional experience is not directly in a senior AI engineering role, the project work aligns well with the target role, indicating a strong desire to transition and contribute. The breadth of skills and project diversity suggest adaptability and a willingness to explore different technical domains.
Soft Skills & Operational Fit
The candidate's experience as a Customer Support Associate and Junior Associate suggests foundational skills in problem-solving, attention to detail, and potentially teamwork, which are transferable. The 'Data Analyst Trainee Intern' role indicates an ability to lead small teams and translate data into actionable insights. The pursuit of an MBA in AI & Data Science, along with certifications in Agile & SCRUM and Design Thinking, points to a proactive approach to professional development and an understanding of project methodologies.