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AI Engineer with less than a year in NLP, Large Language Models & Generative AI
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AI/ML Engineer and Data Scientist with hands-on experience in NLP, Large Language Models, deep learning, and Generative AI. Currently building production-grade AI systems at HDFC Bank. Proficient in end-to-end ML pipelines, transformer architectures (BERT), RAG systems, and multi-agent AI frameworks. Seeking to apply cutting-edge AI and MLOps expertise to solve impactful real-world problems.
NMIMS NSOMAS
Msc Data Science
N/A – Present
D.G. Ruparel College
B.Sc. IT · IT
N/A – June 30, 2024
N.E.S Jr. College
HSC (12th)
N/A – May 31, 2021
Thane Police School
SSC (10th)
N/A – May 31, 2019
HDFC Bank
Data Science & AI Intern
January 1, 2026 – Present
India
MAHESYS IT SERVICES OPT PVT LTD
AI/ML Developer Intern
May 1, 2025 – June 30, 2025
India
AI Agent Market Strategy Crew using CrewAI
March 1, 2025 – May 31, 2025
Built a multi-agent AI system using CrewAI and Mistral-7B (local LLM via llama-cpp-python) where a Market Research Analyst agent and a Content Strategist agent collaborate on multi-step business tasks entirely offline. Designed a custom LLM wrapper to bridge a local Mistral-7B GGUF model with CrewAI's agent interface, enabling cost-free, fully local inference without any paid API dependency. Defined agent roles, goals, backstories, and inter-agent task dependencies - enabling automated competitor analysis followed by a structured content marketing strategy generation. Demonstrated practical multi-agent orchestration with CrewAI's Crew.kickoff() workflow, showcasing real-world agentic AI architecture skills with LangChain, Transformers, and prompt engineering.
Project Samarth - Intelligent Agricultural Q&A System
January 1, 2025 – April 30, 2025
Built a production-ready RAG-based Q&A system on India's agricultural data (data.gov.in) using LangChain, ChromaDB, Hugging Face LLMS (FLAN-T5), and sentence-transformer semantic embeddings. Designed an NLP query classification pipeline (trend / comparison / ranking) with dynamic Plotly visualizations and LRU caching, achieving 40% faster repeated query response times. Integrated real-time data ingestion from data.gov.in API covering crop production, rainfall, and market prices across 10 states, with intelligent fallback and error handling strategies. Deployed via an interactive Gradio web interface with multi-turn chat, source citation tracking, and auto-generated charts demonstrating full end-to-end Generative AI application development.
CSFPC CertiProf
CertiProf
June 1, 2026 – Present
Google Data Analytics
January 1, 2026 – Present
Microsoft Foundations of AI
Microsoft
January 1, 2025 – Present
AWS Cloud Practitioner Essentials
AWS
January 1, 2023 – Present
IBM Cloud Essentials
IBM
January 1, 2021 – Present
Cultural Fit Analysis
The candidate's academic projects show a diverse interest in applying AI to different domains (market strategy, agriculture), indicating adaptability. Their internships at HDFC Bank and MAHESYS IT SERVICES demonstrate exposure to both financial and manufacturing sectors, suggesting a broad applicability of their skills. The target role of 'AI Engineer' aligns well with their objective and demonstrated technical skills in building and deploying AI systems. The breadth of technologies listed (various LLMs, frameworks, cloud platforms) suggests a willingness to learn and adapt to different technical environments. However, the experience level is low, which might impact immediate senior-level cultural integration without mentorship.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills through their project work, tackling real-world challenges like bank statement classification and agricultural Q&A. Their ability to work with multi-agent systems and integrate various AI components suggests good system-level thinking and collaboration potential. The detailed descriptions of their projects and internships indicate a proactive and results-oriented work attitude. However, without specific psychometric test results, a full assessment of stress handling and team collaboration is not possible.