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AI Engineer with 1+ years in AI, Machine Learning, and Full-stack Development
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AI & Automation Engineer delivering AI-driven automation solutions. Recent projects include an end-to-end hiring workflow built in n8n integrating OpenAI GPT and Whisper APIs, and a stateful AI conversational engine on Google Vertex with Redis-based memory, both reducing cycle time and memory usage. Proven ability to design full-stack systems that boost operational efficiency. Seeking to leverage AI and automation expertise to create scalable, intelligent solutions for business growth.
Sage University, Indore
Bachelor of Technology · Computer Technology
N/A – June 30, 2024
Sita Devi Multi H.S. School, Indore
Higher Secondary Certificate (12th)
N/A – Present
Vidya Bhavan Public School, Indore
Secondary School Certificate (10th)
N/A – Present
Fox India Voyages
Applied AI & Automation Engineer - Contract Based (Remote)
October 1, 2025 – Present
Jaipur, Rajasthan, India
Spacey Science (Ed Tech - Startup)
Junior Software Developer - Full time (Remote)
April 1, 2025 – September 1, 2025
London, England, United Kingdom
Zyrixcraft (Service Based - Startup)
Founding Full Stack Developer - Full time (Remote)
October 1, 2024 – March 1, 2025
New Delhi, Delhi, India
Excelerate
Data Analyst Associate - Internship (Remote)
July 1, 2024 – September 1, 2024
Dubai, Dubai, United Arab Emirates
Deep Research Agent (AI-Powered Research Assistant)
June 7, 2026 – Present
• Designed and built an AI research assistant that answers complex queries using LLM-based reasoning, retrieval-augmented generation (RAG), and structured response planning. • Implemented a dual-agent system via LangChain to decompose queries and retrieve contextual information from web and documents using Newspaper3k, Tavily and Cohere APIs. • Developed a Streamlit-based web UI for user input, document uploads, and real-time query interaction. • Integrated DeepEval to assess output quality on relevance, coherence, and factual accuracy. • Ensured modular, scalable architecture for future expansion and multi-agent support.
View ProjectVantage (AI-Powered Investment Research Platform)
June 7, 2026 – Present
• Engineered a multi-agentic stock analysis pipeline using LangGraph and FastAPI to automate equity research, sentiment analysis, and quantitative risk assessment for real-time ticker data. • Implemented a stateful graph architecture with specialized nodes for news scraping (yfinance), sentiment scoring, and volatility calculations, utilizing AgentState as a single source of truth for structured investment memos. • Integrated a hybrid LLM strategy supporting local inference via Ollama (fine-tuned GGUF models) and cloud-based providers (Gemini, Groq) with JSON-mode enforcement for consistent state merging. • Developed a high-performance React Terminal UI featuring Framer Motion for smooth micro-animations, Vite for optimized builds, and a responsive design that handles streaming agent updates. • Deployed a robust full-stack infrastructure using Railway (Backend), Vercel (Frontend), and Supabase (JWT-based Auth), ensuring secure, scalable access to the research pipeline. • Architected a quantitative risk engine that calculates annualized volatility and daily log returns, automating "Buy/Hold/Sell" decisions based on configurable sentiment and risk thresholds.
Email Spam Classifier
June 7, 2026 – Present
• Built a machine learning model using NLP techniques to classify emails as spam or not spam. • Applied text preprocessing steps including tokenization, stopword removal, and TF-IDF vectorization using NLTK. • Trained and evaluated multiple Naive Bayes classifiers; achieved 97.85% accuracy using Bernoulli NB with hyperparameter tuning. • Deployed the model with a user-friendly interface using Streamlit.
View ProjectHackerRank Python
HackerRank
September 1, 2024 – Present
AWS Academy Machine Learning Foundations
AWS Academy
July 1, 2023 – Present
AWS Academy Cloud Foundations
AWS Academy
June 1, 2023 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including personal projects and roles in startups, demonstrates adaptability and a strong drive for innovation. Their experience spans AI/ML, full-stack development, and data analysis, indicating a broad skill set and willingness to tackle different challenges. The focus on building practical, impactful solutions aligns well with a culture that values tangible outcomes and continuous learning. The remote work experience also suggests self-discipline and effective communication in distributed environments.
Soft Skills & Operational Fit
The candidate's project descriptions highlight a strong ability to translate complex requirements into functional, scalable solutions. Their experience in designing end-to-end systems, from backend architecture to frontend UI, indicates good problem-solving and system thinking skills. The focus on automation and efficiency across various domains (recruitment, outreach, finance) suggests a proactive and results-oriented work attitude. The use of GitHub for version control and participation in code reviews points to good collaboration practices.