Aditya Bachhawat

Software Engineer

Bengaluru, Karnataka, India3 yrs 1 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Expert in building scalable AI/ML applications.
Proficient in deploying solutions on major cloud platforms.
Strong foundation in machine learning and deep learning.

Stackforce AI infers this person is a skilled AI/ML Engineer specializing in industrial automation and human resources technology.

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Skills

Core Skills

Machine LearningLarge Language Models (llm)

Other Skills

AWS SageMakerAmazon Web Services (AWS)Analytical SkillsAndroid DevelopmentArtificial Neural Networks (ANN)Bayesian optimizationCascading Style Sheets (CSS)CommunicationContinuous Integration and Continuous Delivery (CI/CD)Data AnalysisData StructuresData VisualizationDatabase Management System (DBMS)Deep LearningDocker

About

I am an AI/ML Engineer with an M.Tech in Artificial Intelligence from NSUT, Delhi. I have a strong foundation in machine learning, deep learning, EDA, and statistics, with a passion for building and deploying AI/ML applications at scale. I enjoy working across the stack — from developing models using PyTorch, Keras, LangChain, and LangGraph to deploying solutions on cloud platforms like GCP, Databricks and AWS. I am proficient in Python, C++, and Java, and have a deep interest the ranges from building agent-based LLM applications to classical Machine Learning solutions. I'm driven by the challenge of turning complex problems into scalable, intelligent systems that make a real-world impact.

Experience

3 yrs 1 mo

Total Experience

1 yr 2 mos

Average Tenure

9 mos

Current Experience

Amazon

Software Development Engineer

Sep 2025 – Present · 9 mos · Bengaluru, Karnataka, India · On-site

Amazon Music

Valiance solutions

AI Engineer

Oct 2023 – Sep 2025 · 1 yr 11 mos · Bengaluru, Karnataka, India · On-site

Building Scalable LLM Systems & Industrial ML Solutions
∙Optimized Recovery Boiler operations for a Fortune 500 pulp & fiber plant using XGBoost + ANN models, boosting energy efficiency by 10% via Bayesian optimization and sensor-driven insights.
∙Developed an AI agent for automated applicant verification, handling thousands of cases/day by parsing HR-candidate email threads with Gemini 2.0, LangGraph, and GCP — reducing manual review by 99%.
∙Engineered a fast, LLM-agnostic RAG engine for policy document search; enabled sub-3second multi-hop QA with reranking, Pinecone vector DB, and parallel verification.
∙Built an NL-to-SQL agent with multi-step reasoning and error recovery, backed by a schema-aware knowledge base for accurate query generation over relational databases.
🛠️ Stack Highlights: GPT-4o, Gemini 2.0, LangGraph, LangChain, GCP, Docker, SQL, Pyomo, MLflow, Streamlit, PyTorch, TF Keras.

XGBoostArtificial Neural Networks (ANN)Bayesian optimizationGemini 2.0LangGraphGoogle Cloud Platform (GCP)+9