Seema . profile photo 1 on Tal

Seema .

Platform Engineering Intern @Slice | RAG Systems & AI Agents | Amazon ML School ’24 | CBIT ’26

Greater Hyderabad Area

1+ year of work experience

slice
Mar 20264 mosPresent

Bengaluru, Karnataka, India

PhoQtek labs
Jul 20255 mosNov 2025

Hyderabad, Telangana, India

• Built retrieval-augmented generation (RAG) workflows using LangChain, FAISS, and OpenAI API for semantic search • Developed backend REST APIs with FastAPI for document processing, data retrieval, and LLM inference • Integrated payment systems (Razorpay and Stripe) for subscription management and access control • Built frontend components and user interfaces for AI-powered applications • Contributed to computer vision projects involving visual navigation and autonomous systems • Containerized full-stack applications with Docker for scalable deployment
IEEE Hyderabad Section
Aug 20243 mosOct 2024

Hyderabad, Telangana, India

• Worked under the guidance of Jogesh K. R. Muppala to build a full-stack journaling application with user authentication and content management features • Developed a journaling web app using React, Express.js, and MongoDB with user login and session handling • Built RESTful APIs for note creation, retrieval, updates, and tag-based filtering • Implemented role-based access control using Express middleware for secure route management • Optimized MongoDB queries and designed efficient database schemas for performance
Headstarter
Jul 20243 mosSep 2024

Hyderabad, Telangana, India

• Worked with a team of engineers on AI-driven projects, focusing on building and deploying machine learning systems for real-world applications • Built ML recommendation systems and clustering modules for user personalization • Developed NLP models for real-time text classification and document summarization • Deployed machine learning models in distributed environments for scalable inference • Collaborated on multiple AI projects with an emphasis on practical implementation and team-based development
Amazon ML Summer School
Jul 20242 mosAug 2024

Hyderabad, Telangana, India

Selected among the top 15% from over 20,000 applicants for Amazon's Machine Learning Summer School, an intensive program covering core ML concepts, deep learning, and distributed computing at scale. Completed coursework on supervised learning, unsupervised learning, neural networks, and deep learning architectures Trained machine learning models on large-scale distributed datasets using Apache Spark and MapReduce Learned optimization techniques for scalable ML systems with emphasis on reducing latency and improving performance Gained hands-on experience with production-level ML workflows and distributed training pipelines Skills: Machine Learning · Deep Learning · Apache Spark · MapReduce · Python · Distributed Systems · Neural Networks · Model Training · Scalable ML Systems

Seema’s AI Stack

cursor
cursor
gemini
gemini
langchain
langchain
openai
openai

Education

Chaitanya Bharathi institute of technology

Bachelor of Technology - BTech, Artificial Intelligence with data science

Chaitanya Bharathi institute of technology

20233 yrs2026

Diploma in Computer Science & Engineering, Computer Science & Engineering

Kamala Nehru Women’s Polytechnic College

20203 yrs2023

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Seema . on Tal

Headline

Platform Engineering Intern @Slice | RAG Systems & AI Agents | Amazon ML School ’24 | CBIT ’26

About

Final-year Bachelor of Technology (BTech) student in Artificial Intelligence and Data Science at Chaitanya Bharathi Institute of Technology, graduating in May 2026. Gained hands-on experience in AI/ML and full-stack development through internships at PhoQtek Labs, IEEE Hyderabad Section, and Headstarter. Currently contributing as an AI & Full Stack Intern at PhoQtek Labs, focusing on retrieval-augmented generation (RAG) workflows, LangChain, FAISS, LLM integrations, and full-stack development. Proficient in Python, FastAPI, Docker, and machine learning technologies, with a passion for building scalable AI systems and applications.

Location

Greater Hyderabad Area

AI stack

cursor

gemini

langchain

openai

Work experience

Platform Engineer Intern at slice, Mar 2026 - Present · 4 mos, Bengaluru, Karnataka, India

AI & Full stack intern at PhoQtek labs, Jul 2025 - Nov 2025 · 5 mos, Hyderabad, Telangana, India, • Built retrieval-augmented generation (RAG) workflows using LangChain, FAISS, and OpenAI API for semantic search • Developed backend REST APIs with FastAPI for document processing, data retrieval, and LLM inference • Integrated payment systems (Razorpay and Stripe) for subscription management and access control • Built frontend components and user interfaces for AI-powered applications • Contributed to computer vision projects involving visual navigation and autonomous systems • Containerized full-stack applications with Docker for scalable deployment

FULL STACK DEVELOPMENT INTERN at IEEE Hyderabad Section, Aug 2024 - Oct 2024 · 3 mos, Hyderabad, Telangana, India, • Worked under the guidance of Jogesh K. R. Muppala to build a full-stack journaling application with user authentication and content management features • Developed a journaling web app using React, Express.js, and MongoDB with user login and session handling • Built RESTful APIs for note creation, retrieval, updates, and tag-based filtering • Implemented role-based access control using Express middleware for secure route management • Optimized MongoDB queries and designed efficient database schemas for performance

Software Engineering Fellow at Headstarter, Jul 2024 - Sep 2024 · 3 mos, Hyderabad, Telangana, India, • Worked with a team of engineers on AI-driven projects, focusing on building and deploying machine learning systems for real-world applications • Built ML recommendation systems and clustering modules for user personalization • Developed NLP models for real-time text classification and document summarization • Deployed machine learning models in distributed environments for scalable inference • Collaborated on multiple AI projects with an emphasis on practical implementation and team-based development

Mentee-Amazon ML School'24 at Amazon ML Summer School, Jul 2024 - Aug 2024 · 2 mos, Hyderabad, Telangana, India, Selected among the top 15% from over 20,000 applicants for Amazon's Machine Learning Summer School, an intensive program covering core ML concepts, deep learning, and distributed computing at scale. Completed coursework on supervised learning, unsupervised learning, neural networks, and deep learning architectures Trained machine learning models on large-scale distributed datasets using Apache Spark and MapReduce Learned optimization techniques for scalable ML systems with emphasis on reducing latency and improving performance Gained hands-on experience with production-level ML workflows and distributed training pipelines Skills: Machine Learning · Deep Learning · Apache Spark · MapReduce · Python · Distributed Systems · Neural Networks · Model Training · Scalable ML Systems

Education

Bachelor of Technology - BTech, Artificial Intelligence with data science, Chaitanya Bharathi institute of technology

Diploma in Computer Science & Engineering, Computer Science & Engineering, Kamala Nehru Women’s Polytechnic College