AI/ML Engineer - Generative AI Developer

SAKTHI P

AI/ML Engineer Generative AI Developer Immediate Joiner

+91-883******* • **************@*****.*** https://www.linkedin.com/in/sakthi-p-3a46472b5/ Github: https://github.com/sakthiponraj29-cyber

PROFESSIONAL SUMMARY

AI/ML Engineer with ~2.8 years of hands-on experience building production-grade Generative AI, NLP, and full-stack AI applications. Proficient in LangChain, LangGraph,RAG pipelines, multi-agent systems, and cloud AI platforms (AWS Bedrock, Azure OpenAI, Google Vertex AI). Skilled at translating complex business requirements into scalable, intelligent solutions using Python, FastAPI, and modern front-end frameworks. Committed to ethical, explainable AI development. PROFESSIONAL EXPERIENCE

SetNextGen Technologies Pvt. Ltd. Erode, Tamil Nadu AI/ML Engineer Jan 2024 – Aug 2026

Last Working Day: Aug 31, 2026 Available to Join Immediately

● Built production-level GenAI web applications and intelligent chatbots using LangChain, RAG, Chain-of-Thought prompting, and context engineering, improving response accuracy and reducing manual intervention.

● Deployed and managed AI workloads across AWS Bedrock, Azure OpenAI Service, and Google Vertex AI, integrating Anthropic, OpenAI, and open-source LLMs into scalable cloud pipelines.

● Developed full-stack AI applications using Python, FastAPI, Node.js, Angular, and React Native with containerized deployments via Docker and Kubernetes.

● Built data pipelines using Apache Kafka, Airflow, and Apache Spark for real-time ingestion and processing of ML model inputs. Key Projects:

SetNext Infinity – Multi-Modal AI Studio: Designed and developed a unified AI workspace combining language, vision, voice, and video models. Enables users to research, ideate, debate across multiple models, write code, generate visuals, and create video content — all within a single platform, eliminating tool-switching overhead. Drag & Drop AI Workflow Agent Builder: Built a no-code visual workflow builder allowing non-technical users to create complex AI agent pipelines through drag-and-drop. Supports real-time execution, multi-agent coordination, and seamless integration with diverse AI models and data sources. Veterinary Call Analysis System: Engineered an end-to-end AI pipeline for a veterinary hospital that transcribes calls using speech-to-text, performs sentiment analysis, automates doctor appointment booking, and generates AI-powered medicine recommendations — reducing manual administrative work significantly. DataMesh – Unified Data Query Platform: Built a unified data mesh platform that aggregates data from multiple heterogeneous sources (MSSQL, SFTP Server, Google Sheets, MongoDB, PostgreSQL) into a single layer. Implemented automated data indexing and cube creation on the ingested datasets, enabling users to query across all sources in natural language and receive accurate, contextual answers in real time. ACADEMIC PROJECT

IoT-Based Underground Cable Fault Detection System Domain: Internet of Things (IoT) · Technologies: HTML, PHP, SQL, Microcontroller

● Designed and implemented a microcontroller-based system to detect and locate underground cable faults in real time using a potential divider network.

● Fault data processed by microcontroller, displayed on an LCD, and transmitted online via IoT for remote monitoring — accurately pinpointing fault location and reducing unnecessary excavation. TECHNICAL SKILLS

Languages & Frameworks: Python, FastAPI, Node.js, Angular, React Native, JavaScript, SQL, HTML, Tailwind CSS GenAI & NLP: LangChain, LangGraph, RAG, LLM, Prompt Engineering, Context Engineering, Chain-of-Thought, Transformer Models, NLP, Computer Vision.

AI/ML: Machine Learning (Supervised & Unsupervised), Deep Learning, TensorFlow, Pytorch, Time Series Forecasting, Predictive Analytics, Descriptive Analysis.

Cloud & AI Platforms: AWS Bedrock, AWS Lambda, EC2, S3, Azure OpenAI Service, Google Vertex AI, GCP DevOps & Infra: Docker, Kubernetes, Apache Kafka, Apache Spark, Airflow, Git Databases & Storage: MySQL, ADLS, S3, GCS, Snowflake, BigQuery Data Engineering: ETL/ELT Pipelines, Semantic Search, Data Indexing,Cubes, Metadata Management, Data Quality & Transformation.

Vector Databases & Knowledge Graphs: Pinecone, ChromaDB, Weaviate, Neo4j, Semantic Search, Vector Embeddings Databases:

SQL: PostgreSQL, MySQL, SQL

NoSQL: MongoDB

SELECTED AI PROJECTS

RAG-Based Document Question Answering Chatbot

Technologies: Python, FastAPI, FAISS, RAG, Google Gemini, LangChain

● Developed a Retrieval-Augmented Generation (RAG) chatbot that enables users to ask natural-language questions over uploaded documents.

● Implemented document processing, text chunking, embedding generation, and FAISS vector search to retrieve relevant context.

● Integrated an LLM to generate contextual and grounded responses based on the retrieved document content.

● Built REST APIs using FastAPI for document ingestion and question-answering workflows.

● Designed the pipeline to reduce irrelevant responses by grounding LLM outputs in retrieved document context. AI-Based Exercise Recognition & Form Correction System Technologies: Python, Machine Learning, Computer Vision, OpenCV, MediaPipe

● Developed a real-time AI-based exercise recognition system that uses a camera feed to identify different exercises performed by users.

● Trained a machine learning model to recognize exercise movements using body-pose landmarks extracted from live video.

● Implemented pose and joint-angle analysis to evaluate exercise posture, movement patterns, and form correctness in real time.

● Provided immediate feedback to users by identifying whether an exercise was performed correctly or incorrectly.

● Designed the system to support multiple exercises and dynamically recognize the exercise being performed through the camera.

EDUCATION

B.E. – Electronics & Communication Engineering

VV College of Engineering, Tirunelveli · 2019 – 2023 · 82.96% Higher Secondary Certificate (HSC)

St. Antony's Girls Higher Secondary School · 2019 · 63.3% Secondary School Leaving Certificate (SSLC)

St. Antony's Girls Higher Secondary School · 2017 · 87.2% PERSONAL DETAILS

● Date of Birth: 29/10/2002

● Nationality: Indian

● Languages: English, Tamil.

ACHIEVEMENTS & TRAINING

● Presented a technical paper and participated in a workshop at Amrita College of Engineering, Nagercoil.

● Completed In-Plant Training at N Tech Solutions (Jul – Aug 2022) — gained exposure to real-time project development and practical applications.

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