07/12/2026 updated


100 % available
AI & ML Engineer | Generative AI | Full-Stack Development
Hyderabad, India
Worldwide
B.Tech in Data Science and Artificial IntelligenceAbout me
I’m an AI engineer developer passionate about building intelligent financial products. I combine AI, cloud engineering, and product thinking to build complex systems end to end. What makes me unique is my strong ownership, problem-solving mindset, and ability to turn ideas into real products.
AI AgentsFinance SoftwaresPython (Programming Language)
Generative AI & AI Frameworks
Expertise in Large Language Models (GPT, Gemini, Llama), Retrieval-Augmented Generation (RAG), AI Agents, Prompt Engineering, Fine-Tuning, PyTorch, TensorFlow, Hugging Face, LangChain, and LlamaIndex for building intelligent enterprise solutions.
Backend Development
Proficiency in FastAPI, Flask, REST APIs, ETL Pipelines, and API Integration for developing scalable and high-performance backend systems.
Cloud & Infrastructure
Hands-on experience with Google Cloud Platform (GCP), Cloudflare, Docker, and Git for deploying and managing scalable cloud-based services and infrastructure.
Programming Languages
Strong command of Python, SQL, TypeScript, and JavaScript for developing AI-powered applications and data-driven solutions.
Frontend Development
Knowledge of React.js, Next.js, HTML5, CSS3, SCSS/SASS, and Responsive UI Design for building modern and user-friendly web interfaces.
Databases
Experience with PostgreSQL, MySQL, MongoDB, Pinecone, ChromaDB, and Neo4j for managing structured and unstructured data across various application domains.
Financial Intelligence
Familiarity with SEC Filings (10-K/10-Q), XBRL Taxonomy Mapping, Earnings Analytics, Equity Research, and Financial Data Processing for building AI-driven financial platforms.
Computer Vision & ML
Experience building and training computer vision models for activity recognition, achieving high accuracy on large-scale datasets such as Meta's Ego-Exo dataset.
Expertise in Large Language Models (GPT, Gemini, Llama), Retrieval-Augmented Generation (RAG), AI Agents, Prompt Engineering, Fine-Tuning, PyTorch, TensorFlow, Hugging Face, LangChain, and LlamaIndex for building intelligent enterprise solutions.
Backend Development
Proficiency in FastAPI, Flask, REST APIs, ETL Pipelines, and API Integration for developing scalable and high-performance backend systems.
Cloud & Infrastructure
Hands-on experience with Google Cloud Platform (GCP), Cloudflare, Docker, and Git for deploying and managing scalable cloud-based services and infrastructure.
Programming Languages
Strong command of Python, SQL, TypeScript, and JavaScript for developing AI-powered applications and data-driven solutions.
Frontend Development
Knowledge of React.js, Next.js, HTML5, CSS3, SCSS/SASS, and Responsive UI Design for building modern and user-friendly web interfaces.
Databases
Experience with PostgreSQL, MySQL, MongoDB, Pinecone, ChromaDB, and Neo4j for managing structured and unstructured data across various application domains.
Financial Intelligence
Familiarity with SEC Filings (10-K/10-Q), XBRL Taxonomy Mapping, Earnings Analytics, Equity Research, and Financial Data Processing for building AI-driven financial platforms.
Computer Vision & ML
Experience building and training computer vision models for activity recognition, achieving high accuracy on large-scale datasets such as Meta's Ego-Exo dataset.
Experience
Professional experience0 - 5 years
Freelancer since2025
Languages
EnglishNative speaker
Project history
Built an AI-powered Financial Intelligence Platform using React Next.js, Flask, Python, and GCP, enabling analysis of SEC filings and financial statements. Engineered AI-driven research features using OpenAI and Gemini. Developed portfolio management and cloud infrastructure with real-time holdings synchronization and brokerage integrations.
Developed AI-powered enterprise automation solutions using Oracle AI Agent Studio, Python (FastAPI), and LangChain for Accounts Payable/Receivable workflows. Built an AI meeting intelligence platform with transcription, summarization, and conversational search. Researched Graph RAG and optimized BigQuery, Cloud Storage, and ETL pipelines.
Built a GenAI-powered audio and video summarizer tool that extracts real-time insights, queries, and action items from recordings. Streamlined meeting workflows by converting lengthy discussions into concise summaries. Technologies: Azure OpenAI, Flask, MySQL, Tailwind CSS.