Akhil Salla

AI Researcher

Hyderabad, Telangana, India4 yrs 6 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in Generative AI and LLM orchestration.
Achieved 90% reduction in ML pipeline feature engineering time.
Delivered 20% cost savings through AI-powered solutions.

Stackforce AI infers this person is a Generative AI Engineer with a focus on scalable AI solutions in SaaS.

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Skills

Core Skills

Generative AiLarge Language Models (llm)Machine LearningAi EngineeringSoftware EngineeringData ScienceEducational LeadershipSoftware Development

Other Skills

AI AgentsAPI DevelopmentAWS DynamoDBActive ListeningApache KafkaAutomatic Label EncoderC (Programming Language)C++CSSChurn ModelCommunicationData AnalysisData ManipulationData Structures and Algorithms in PythonData Visualization

About

Generative AI Engineer specializing in LLMs, RAG pipelines, and AI Agents with expertise in LangChain, HuggingFace, and Vector Databases. 📂 Portfolio: [https://akhil-droid.github.io/Portfolio/] I build scalable AI systems — from intelligent search engines to multi-doc chatbots — turning complex AI concepts into production-ready solutions that deliver measurable impact. ------------ I am a Machine Learning & AI Engineer passionate about building intelligent systems that combine Large Language Models, Retrieval-Augmented Generation, and tool-enabled AI agents. My expertise spans LLM orchestration with LangChain, HuggingFace Transformers, Vector Databases (FAISS, Pinecone), and MLOps pipelines on AWS SageMaker & GCP AI Platform. Highlighted Projects: 1. AI Search Engine with multi-model query handling using Groq & OpenAI LLMs 2. Multi-PDF Chatbot with RAG & context memory for intelligent document search 3. Multi-Provider Q&A Chatbot with OpenAI and Groq Key Achievements: -> Reduced ML pipeline feature engineering time by 90% with automation tools -> Delivered 20% cost savings in admin workflows via AI-powered APIs -> Increased lead generation by 30% through predictive modeling I focus on delivering scalable, explainable, and impactful AI solutions — from idea to deployment. 💬 Open to collaborations and opportunities in Generative AI, NLP, and AI product engineering.

Experience

4 yrs 6 mos

Total Experience

11 mos

Average Tenure

8 mos

Current Experience

Quantum gandiva ai

Applied AI Engineer

Oct 2025 – Present · 8 mos · Hyderabad, Telangana, India · On-site

Building LLM-powered autonomous agents with memory, tool-use, and reasoning loops for adaptive task orchestration. Developing GenAI workflows using prompt-chaining, retrieval-augmented generation (RAG), and multi-agent collaboration frameworks. Implementing agentic pipelines with LangChain, LangGraph, and vector databases to enable goal-driven, context-aware AI systems.

LangChainLangGraphRAGAI AgentsMemoryTool-use+3

Freelance

AI and ML Engineer

Jan 2024 – Aug 2025 · 1 yr 7 mos · Hyderabad, Telangana, India · Remote

Built an AWS DynamoDB RCU optimization pipeline with a DevOps engineer, cutting read-capacity costs by 35% via automated scaling. Created a deep learning churn model for an Australian restaurant, boosting retention prediction accuracy by 80%+.

AWS DynamoDBDevOpsDeep LearningChurn ModelMachine LearningAI Engineering

Nexquare

Software Engineer

Mar 2023 – Sep 2023 · 6 mos · Remote

Developed the School Fee API, streamlining revenue tracking and reducing administrative costs by 20%.
Built an Automatic Label Encoder to reuse mapped labels, cutting development downtime by 90%.
Designed a multi-user API for managing student syllabi, doubling content management productivity.

API DevelopmentRevenue TrackingAutomatic Label EncoderSoftware EngineeringData Science

21k school

Data Scientist

Aug 2022 – Feb 2023 · 6 mos · India · Remote

Analyzed 5TB of administrative data for lead generation and behavior prediction, increasing leads by 30%.
Performed feature engineering, selection, and developed high-accuracy ML models to automate insights.
Delivered tools that automated report generation for school administration.

Data AnalysisFeature EngineeringML ModelsData ScienceMachine Learning

Codvis

Machine Learning Intern

Jul 2021 – Apr 2022 · 9 mos · Remote

Led a 6-member ML team to deliver 5 customer-focused features within 3 months.
Coordinated cross-functional teams to integrate AI into products, reducing development time by 25%.
Developed data visualization tools using Python, Django, and ML techniques.

Data VisualizationPythonDjangoMachine LearningSoftware Development