Summary
Overview
Work History
Education
Skills
Certification
Cold Email Generator (Gen-AI Project)
Healthcare Patient Feedback Insights Dashboard
Timeline
Generic

Aniket Soni

Gurugram

Summary

Accomplished Software Engineer at Green Rider Technology, specializing in machine learning and prompt engineering. Expertly designed AI prompts and fine-tuned large language models to enhance business outcomes. Demonstrated strong analytical skills and collaboration with cross-functional teams, driving continuous improvement in model accuracy and relevance. Proficient in C++ and Python.

Overview

2
2
years of professional experience
1
1
Certification

Work History

Software Engineer

Green Rider Technology
Gurugram
02.2024 - Current
  • Designed and optimized AI prompts using techniques like Chain of Thought reasoning, Transformers, and retrieval-augmented generation (RAG).
  • Fine-tuned large language models (LLMs) to align with real-world business goals and user needs.
  • Monitored and evaluated prompt performance to drive continuous improvement.
  • Developed intelligent systems by refining prompt engineering workflows and enhancing model outputs.
  • Collected user feedback and conducted analysis to assess and improve model accuracy and relevance.
  • Maintained thorough documentation of AI prompt strategies, experiments, and results.
  • Collaborated with cross-functional teams and stayed updated on advancements in NLP, ML, and AI.

Education

B. Tech - Computer Science and Engineering

Medi-Caps University
Indore
06-2024

Skills

  • C and Python
  • HTML and CSS
  • Machine learning
  • Prompt engineering

Certification

  • Programming for Everybody (Getting Started with Python), Coursera
  • Web Development Masterclass, Udemy
  • Cybersecurity Essentials, Cisco

Cold Email Generator (Gen-AI Project)

I developed a cold email generator leveraging Llama 3.1 to create personalized and professional outreach emails, the system integrates LangChain for prompt orchestration and workflow management, and ChromaDB for efficient vector storage and semantic search. To make the tool user-friendly, I built an interactive Streamlit interface that enables seamless input and generation of customized cold emails. This project demonstrates my ability to design and implement end-to-end generative AI solutions, combining model integration, data handling, and front-end development. It highlights my skills in Generative AI, LLMs, LangChain, ChromaDB, Streamlit, and prompt engineering

Healthcare Patient Feedback Insights Dashboard

  • Developed an end-to-end machine learning pipeline to analyze patient reviews, including data scraping, cleaning, and fine-tuning BioBERT for sentiment classification
  • Designed and deployed an interactive Streamlit dashboard with Plotly visualizations, enabling hospital administrators to track sentiment trends, department-level performance, and satisfaction scores for actionable decision-making

Timeline

Software Engineer

Green Rider Technology
02.2024 - Current

B. Tech - Computer Science and Engineering

Medi-Caps University
Aniket Soni