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I am a results-oriented AI and data science professional with a proven record of developing and deploying sophisticated AI solutions. I specialize in building end-to-end applications involving Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and various APIs. Proficient in Python and Node.js with a strong aptitude for integrating third-party services and creating seamless user experiences. I am eager to leverage my skills in voice technology and workflow automation to develop an innovative AI-powered voice agent for the children’s adventure park.…I am a results-oriented AI and data science professional with a proven record of developing and deploying sophisticated AI solutions. I specialize in building end-to-end applications involving Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and various APIs. Proficient in Python and Node.js with a strong aptitude for integrating third-party services and creating seamless user experiences. I am eager to leverage my skills in voice technology and workflow automation to develop an innovative AI-powered voice agent for the children’s adventure park.

VARSHA KIZHAKKILAM NEELAMANA

Data Scientist, AI Engineer, AI Developer, +2

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I am a results-oriented AI and data science professional with a proven record of developing and deploying sophisticated AI solutions. I specialize in building end-to-end applications involving Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and various APIs. Proficient in Python and Node.js with a strong aptitude for integrating third-party services and creating seamless user experiences. I am eager to leverage my skills in voice technology and workflow automation to develop an innovative AI-powered voice agent for the children’s adventure park.…I am a results-oriented AI and data science professional with a proven record of developing and deploying sophisticated AI solutions. I specialize in building end-to-end applications involving Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and various APIs. Proficient in Python and Node.js with a strong aptitude for integrating third-party services and creating seamless user experiences. I am eager to leverage my skills in voice technology and workflow automation to develop an innovative AI-powered voice agent for the children’s adventure park.

Available to hire

I am a results-oriented AI and data science professional with a proven record of developing and deploying sophisticated AI solutions. I specialize in building end-to-end applications involving Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and various APIs. Proficient in Python and Node.js with a strong aptitude for integrating third-party services and creating seamless user experiences.

I am eager to leverage my skills in voice technology and workflow automation to develop an innovative AI-powered voice agent for the children’s adventure park.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

Founding Engineer at Deckless

September 1, 2025 - October 7, 2025

Defined strategic architecture for a core AI engine utilizing LLMs and RAG for data interaction products. Provided strategic input for implementing scalable vector databases for information retrieval. Planned AWS cloud platform utilization for application infrastructure and scaling. Led foundational R&D to define the technical roadmap and drive AI innovation.

Data Scientist at The Orbital Locker

July 1, 2025 - October 7, 2025

Transformed nascent product concept into a technically sound MVP, overseeing initial AI development. Spearheaded R&D for optimal algorithms and technology stack selection, shaping implementation strategy. Collaborated with cross-functional teams (UI/UX, engineering) to define project scope and strategic direction for AI solutions.

Data Scientist at Solar Secure Solutions

February 1, 2025 - October 7, 2025

Designed robust data pipelines for extraction, cleaning, and transformation for AI models. Engineered GraphQL queries and designed user interfaces (Flutterflow) for seamless application functionality. Applied advanced regression and classification techniques for financial pattern recognition.

Machine Learning Intern at Proceedit (The BPaaS company)

June 1, 2024 - October 7, 2025

Developed Bayesian Neural Network (BNN) using TensorFlow for probabilistic timeseries forecasts. Deployed autonomous algorithmic BOTs using supervised learning and Proximal Policy Optimization (PPO). Engineered a custom Reinforcement Learning environment, demonstrating model development from scratch.

Founding Engineer at Deckless

September 1, 2025 - October 7, 2025

Defined strategic architecture for a core AI engine utilizing LLMs and RAG for data interaction products. Provided input for implementing scalable vector databases for information retrieval. Planned AWS cloud platform utilization for application infrastructure and scaling. Led foundational R&D to define the technical roadmap and drive AI innovation.

Data Scientist at The Orbital Locker

July 1, 2025 - October 7, 2025

Transformed nascent product concept into a technically sound MVP, overseeing initial AI development. Spearheaded R&D for optimal algorithms and technology stack selection, shaping implementation strategy. Collaborated with UI/UX and engineering teams to define project scope and strategic direction for AI solutions.

Data Scientist at Solar Secure Solutions

February 1, 2025 - October 7, 2025

Machine Learning Intern at Proceedit

June 1, 2024 - October 7, 2025

Founding Engineer at Deckless

September 30, 2025 - October 7, 2025

Defined strategic architecture for a core AI engine utilizing LLMs and Retrieval-Augmented Generation (RAG) for data interaction products. Planned scalable vector databases for information retrieval and designed AWS-based infrastructure for scaling. Led foundational R&D to define the technical roadmap and drive AI innovation.

Data Scientist at The Orbital Locker

July 31, 2025 - October 7, 2025

Transformed nascent product concept into a technically sound MVP, overseeing initial AI development. Spearheaded R&D for optimal algorithms and technology stack selection, shaping implementation strategy. Collaborated with UI/UX and engineering teams to define project scope and strategic direction for AI solutions.

Data Scientist at Solar Secure Solutions

February 28, 2025 - October 7, 2025

Machine Learning Intern at Proceedit

June 30, 2024 - October 7, 2025

Founding Engineer at Deckless

September 1, 2025 - October 26, 2025

Designed a core AI engine using LLMs and RAG to power a novel data interaction product. Conceptualized and suggested a versatile plugin architecture and robust data connectors to seamlessly integrate with multiple disparate data sources and APIs. Planned the utilization of the AWS cloud platform to build, deploy, and scale the application's infrastructure, ensuring high availability and performance.

Data Scientist at The Orbital Locker

July 1, 2025 - October 26, 2025

Led the transformation of a product concept into a technically feasible and architecturally sound MVP, with hands-on experience in its initial development and implementation. Collaborated with cross-functional teams to define project scope and strategic direction for the MVP. Architected a comprehensive product roadmap, orchestrating collaboration across UI/UX, engineering, and deployment teams.

Machine Learning Intern at Proceedit

June 1, 2024 - October 26, 2025

Developed and deployed two autonomous algorithmic BOTs using supervised learning and Proximal Policy Optimization (PPO). Engineered a custom Reinforcement Learning environment using OpenAI Gym and defined a sophisticated reward function to effectively train the trading agent.