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Hi, I'm Venkatalakshmi, an AI/ML Engineer with 4+ years of hands-on experience designing ML models, RAG pipelines, LLM fine-tuning workflows, and building AI agents across Azure, AWS, and GCP. I’ve delivered measurable ROI uplift, improved model accuracy, and automated numerous workflows to drive efficiency in finance and analytics domains. I’m passionate about turning research into scalable production systems and collaborating with cross-functional teams to solve real-world problems. I’m seeking roles in machine learning, generative AI, computer vision, AI automation, and MLOps where I can continue delivering impact at scale, optimize cloud ML pipelines, and mentor teams on best practices for reliable AI systems.…Hi, I'm Venkatalakshmi, an AI/ML Engineer with 4+ years of hands-on experience designing ML models, RAG pipelines, LLM fine-tuning workflows, and building AI agents across Azure, AWS, and GCP. I’ve delivered measurable ROI uplift, improved model accuracy, and automated numerous workflows to drive efficiency in finance and analytics domains. I’m passionate about turning research into scalable production systems and collaborating with cross-functional teams to solve real-world problems. I’m seeking roles in machine learning, generative AI, computer vision, AI automation, and MLOps where I can continue delivering impact at scale, optimize cloud ML pipelines, and mentor teams on best practices for reliable AI systems.

Venkatalakshmi Kottapalli

AI Engineer, Data Scientist, Data Analyst, +3

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Hi, I'm Venkatalakshmi, an AI/ML Engineer with 4+ years of hands-on experience designing ML models, RAG pipelines, LLM fine-tuning workflows, and building AI agents across Azure, AWS, and GCP. I’ve delivered measurable ROI uplift, improved model accuracy, and automated numerous workflows to drive efficiency in finance and analytics domains. I’m passionate about turning research into scalable production systems and collaborating with cross-functional teams to solve real-world problems. I’m seeking roles in machine learning, generative AI, computer vision, AI automation, and MLOps where I can continue delivering impact at scale, optimize cloud ML pipelines, and mentor teams on best practices for reliable AI systems.…Hi, I'm Venkatalakshmi, an AI/ML Engineer with 4+ years of hands-on experience designing ML models, RAG pipelines, LLM fine-tuning workflows, and building AI agents across Azure, AWS, and GCP. I’ve delivered measurable ROI uplift, improved model accuracy, and automated numerous workflows to drive efficiency in finance and analytics domains. I’m passionate about turning research into scalable production systems and collaborating with cross-functional teams to solve real-world problems. I’m seeking roles in machine learning, generative AI, computer vision, AI automation, and MLOps where I can continue delivering impact at scale, optimize cloud ML pipelines, and mentor teams on best practices for reliable AI systems.

Available to hire

Hi, I’m Venkatalakshmi, an AI/ML Engineer with 4+ years of hands-on experience designing ML models, RAG pipelines, LLM fine-tuning workflows, and building AI agents across Azure, AWS, and GCP. I’ve delivered measurable ROI uplift, improved model accuracy, and automated numerous workflows to drive efficiency in finance and analytics domains. I’m passionate about turning research into scalable production systems and collaborating with cross-functional teams to solve real-world problems.
I’m seeking roles in machine learning, generative AI, computer vision, AI automation, and MLOps where I can continue delivering impact at scale, optimize cloud ML pipelines, and mentor teams on best practices for reliable AI systems.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Fluent

Work Experience

AI/ML Engineer at Peblink

September 1, 2025 - Present

Implemented AI-driven optimization models for Goldman Sachs’ $500M Dallas campus initiative, identifying redundant management layers and improving operational efficiency across multiple business units. Built ensemble ranking models (XGBoost, Random Forest) to prioritize relocation candidates, reducing analysis time by 40%. Developed GPT-4 LangChain agents for relocation and retention scoring, automating 30+ workflows and cutting project turnaround time by 25%. Created executive dashboards, heatmaps, and cost-benefit visualizations using Power BI, enabling real-time insights.

AI /ML Engineer at Peblink

September 1, 2025 - Present

Implemented AI-driven optimization models for Goldman Sachs’ Dallas campus initiative, identifying redundant management layers and improving operational efficiency across multiple business units. Built ensemble ranking models (XGBoost, Random Forest) to prioritize relocation candidates, reducing analysis time by 40%. Developed GPT-4 LangChain agents for relocation and retention scoring, automating 30+ workflows and cutting project turnaround time by 25%. Created executive dashboards, heatmaps, and cost-benefit visualizations using Power BI, enabling real-time insights.

Machine Learning Engineer at ZSAnalytics

May 1, 2024 - August 1, 2025

Built MLOps pipelines on Azure ML and AKS with MLflow integration, streamlining deployment cycles and reducing model release time by 30%. Performed extensive EDA and feature engineering, generating 10+ custom features that increased precision from 76% to 88%. Developed a retrieval-augmented generation (RAG) pipeline using LangChain, GPT-4, and vector database ChromaDB to index 100K+ documents, achieving Recall@K = 0.82 and reducing query latency from 6.2 s to 2.1 s. Collaborated with cross-functional stakeholders to present results and ROI improvements through interactive dashboards.

Data Scientist at Cutso LLP

March 1, 2019 - December 1, 2021

Executed large-scale EDA and statistical analysis (Chi-Square, ANOVA) on 1M+ transactions, uncovering 8 behavioral clusters that enhanced marketing segmentation strategies. Applied K-Means & DBSCAN clustering to classify customers into 5 groups (Silhouette = 0.68), increasing retention by 18%. Automated KPI dashboards in Tableau, saving 50+ hours monthly through real-time performance monitoring of 30+ metrics. Delivered predictive inventory analytics, reducing stockouts by 25% and boosting overall profitability by 12%.