I am seeking a Entry to mid-level roles focused on building and deploying generative AI, Machine Learning and RAG systems within collaborative teams, where I can scale models to production and drive measurable business impact.
Akhil Salla
@akhilsalla
Machine Learning & AI Engineer specializing in generative AI systems.
What I'm looking for
I am a Machine Learning & AI Engineer with hands-on experience building generative AI systems, RAG pipelines, and tool-enabled agents. I focus on delivering scalable, production-ready solutions using Python, TensorFlow, and PyTorch.
I have implemented end-to-end ML lifecycles—from data ingestion and feature engineering to model deployment, monitoring, and optimization—across cloud MLOps platforms like AWS SageMaker and GCP AI Platform. My work has driven measurable business value, including cost reductions and increased lead generation.
Notable projects include a LangChain-based AI search agent integrating DuckDuckGo, ArXiv, and Wikipedia, and a multi-PDF RAG Streamlit app using HuggingFace embeddings and vector databases. I routinely design reusable components such as automatic label encoders and modular agent frameworks to accelerate development.
I collaborate effectively with cross-functional teams, having led ML teams and coordinated integrations that shortened development cycles. I seek opportunities to apply generative AI and production ML expertise to solve real-world problems and scale intelligent systems.
Experience
Work history, roles, and key accomplishments
Software Engineer
Nexquare
Mar 2023 - Sep 2023 (6 months)
Developed and deployed a Django REST API for school fee tracking that cut administrative costs by 20% and built reusable ML tooling (Automatic Label Encoder) reducing feature engineering time by 90%.
Data Scientist
21K School
Aug 2022 - Oct 2022 (2 months)
Processed and analyzed 5+ TB of data to drive lead generation and behavior models, increasing leads by 30% and automating reporting to reduce manual report time by 70%.
Machine Learning Engineer
Codvis
Jul 2021 - Apr 2022 (9 months)
Led a 6-member ML team to deliver five customer-facing features in three months and coordinated cross-functional integrations that reduced development time by 25%.
Education
Degrees, certifications, and relevant coursework
Vignana Bharathi Institute Of Technology
Bachelor of Technology, Computer Science and Engineering
Completed a Bachelor of Technology in Computer Science and Engineering, graduating in July 2022.
Tech stack
Software and tools used professionally
Postman
Apache Spark
Amazon EC2
Amazon S3
GitHub
Kubernetes
Salesforce
Jupyter
NumPy
Pandas
DB
Gmail
Django
Google Analytics
Terraform
Python
Amazon Machine Learning
TensorFlow
PyTorch
scikit-learn
Keras
Streamlit
Pipelines
Amazon DynamoDB
Git
Docker
Amazon Web Services (AWS)
SQL
XGBoost
Hugging Face
LangChain
ChromaDB
Pinecone
Groq
Availability
Location
Authorized to work in
Portfolio
akhil-droid.github.io/PortfolioSalary expectations
Social media
Job categories
Skills
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