Richa

Richa

$10/hr
LLM Python Developer
Reply rate:
-
Availability:
Hourly ($/hour)
Age:
23 years old
Location:
Bangalore, Karnataka, India
Experience:
2 years
Richa Kumari LLM Python Developer | -| - | LinkedIn PROFESSIONAL SUMMARY Data Professional in transition, with expertise in data analysis, machine learning, and automation using Python, SQL, and advanced data visualization tools. Experienced in fine-tuning Large Language Models (LLMs) and optimizing workflows to enhance system performance. Passionate about contributing to data-driven decision-making and developing innovative solutions to solve complex business challenges. Seeking opportunities to leverage my technical skills and leadership experience to drive impactful results and business growth. TECHNICAL SKILLS Programming & Scripting: Python, SQL, PowerShell Data Analysis & Visualization: Pandas, NumPy, Matplotlib, Seaborn, Tableau, Power BI, Microsoft Excel Machine Learning & AI: Supervised Fine-Tuning (SFT), Reinforcement Learning from Human Feedback (RLHF), LLM Prompt Engineering, Model Evaluation, Machine Learning Databases & Tools: DBeaver, Active Directory, Citrix Workspace, Windows Server Administration, SCCM, ServiceNow Soft Skills: Team Leadership, Incident Management, Effective Communication, Analytical Thinking, Problem Solving WORK EXPERIENCE Python LLM Developer (Squad Lead) | Turing Enterprises Inc. | Remote | Contractual | September 2024 - April 2025 Trained and fine-tuned Large Language Models (LLMs) using Reinforcement Learning from Human Feedback (RLHF) and Supervised Fine-Tuning (SFT), enhancing overall model response quality. Developed and tested prompts to improve instruction adherence, accuracy, efficiency, and reduce hallucinations, boosting factual correctness and relevance of outputs. Applied data preprocessing techniques using Python and SQL to optimize training workflows and improve model performance. Promoted to Squad Lead within one month in recognition of exceptional technical and leadership performance. Led a team of 7 developers, providing technical guidance, conducting code reviews, and ensuring high-quality deliverables with consistent on-time completion. Contributed to continuous model iteration, improving output accuracy, efficiency, and semantic relevance. Created and maintained internal documentation on LLM tuning and evaluation best practices, supporting team alignment and onboarding. System Associate | Infosys Limited, Bangalore | October 2022 - June 2024 Completed in-depth training in Data Center Operations Standards (DCOS), Python, and SQL, with a focus on automation and data process optimization. Provided technical support for end users, improving response times by 20% and maintaining a 98% satisfaction rate for desktop, laptop, and application issue resolution. Resolved 95% of service incidents within SLA using ServiceNow, ensuring consistent service delivery and minimal downtime. Administered user access and permissions via Active Directory, maintaining security and compliance across the infrastructure. Deployed software updates and patches through SCCM, supporting system stability, security, and performance. Developed automation scripts using PowerShell, streamlining repetitive data processes and reducing manual errors. Extracted and analyzed structured data using SQL and DBeaver to assist with issue resolution and trend analysis, significantly cutting troubleshooting time. Contributed to internal events and employee initiatives, contributing to team engagement and collaboration culture. PROJECTS Netflix Data Analysis | Tools: SQL, Excel, Python, Machine Learning Cleaned, transformed, and visualized Netflix datasets to identify content trends and patterns in viewer behavior. Applied machine learning techniques to uncover insights on genre popularity, watch time, and audience preferences. Delivered actionable recommendations that could guide content acquisition and marketing strategies. Drugs & Medical Analysis | Tools: SQL, Excel, Python, Machine Learning Conducted exploratory data analysis on healthcare datasets to examine correlations between drug side effects and medical conditions. Utilized statistical and machine learning methods to enhance data clarity and interpretability for clinical use. Improved visibility into drug efficacy and safety, supporting more informed medical decision-making. EDUCATION Master of Computer Applications: Data Science (Pursuing) Jain Deemed-to-be University, Bangalore | 2023 – Present Bachelor of Computer Applications Amity University, Patna | 2019 – 2022 CERTIFICATIONS & TRAINING Data Science Internship – Unified Mentor Career Essentials in Data Analysis — Microsoft & LinkedIn Deloitte Australia Data Analytics Job Simulation — Forage Prompt Design in Vertex AI Skill Badge — Google SQL Certificate — HackerRank Summer Training Program on Python – CETPA Infotech Pvt. Ltd.
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