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Sumit - Singh SDE

Sumit Singh is a Software Developer Engineer-1 at PeopleStrong Technologies, where he developed a chatbot using RAG and optimized data transfer services, achieving significant performance improvements. He holds a B.Tech in Computer Science from Harcourt Butler Technical University and has completed an internship at Samsung SDS, focusing on data structures and algorithms. Sumit has a strong competitive programming background, with notable achievements and a variety of technical skills in programming languages and software development.

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Tarun Singh
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0% found this document useful (0 votes)
19 views2 pages

Sumit - Singh SDE

Sumit Singh is a Software Developer Engineer-1 at PeopleStrong Technologies, where he developed a chatbot using RAG and optimized data transfer services, achieving significant performance improvements. He holds a B.Tech in Computer Science from Harcourt Butler Technical University and has completed an internship at Samsung SDS, focusing on data structures and algorithms. Sumit has a strong competitive programming background, with notable achievements and a variety of technical skills in programming languages and software development.

Uploaded by

Tarun Singh
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Gurugram, Haryana, India

SUMIT SINGH +91-8433272258


ysumitsingh2@gmail.com
www.linkedin.com/in/sumitsingh159/

WORK EXPERIENCE
Software Developer Engineer-1 PEOPLESTRONG TECHNOLOGIES 01/04/24 - Present
 Developed a chatbot using Retrieval-Augmented Generation (RAG) with OpenAI and Gemini models.
 Conducted a Proof of Concept (POC) on multiple vector stores, including FAISS, ChromaDB, PGVector, AlloyDB, and
Elasticsearch, to evaluate performance, scalability, and suitability for specific use cases and analyzed Google Cloud
RAG architecture.
 Optimized the Sync Service for data transfer from MSSQL to Elasticsearch, achieving ~200% performance
improvement by enhancing functionality and implementing multithreading in Python. Integrated MongoDB for batch status
logging, enabling seamless recovery and restart after system failures.
 In Google Dialogflow for the Jinie Chatbot, improving intent detection accuracy by cleaning over 1,000 redundant
intents. Created custom entities to ensure proper validation and more accurate responses. Created APIs and scripts for
data enhancemnet, training queries, and performance enhancement.
 Improved Backend APIs by Developing an AI-powered JD-CV Matchmaking system for recruitment, enhancing
candidate recommendation accuracy by 20%. Applied advanced techniques in feature extraction, data preprocessing,
and machine learning to optimize the matchmaking and recommendation pipeline.
 Designed and implemented APIs for list view pagination in Java Spring Boot, leveraging MongoDB aggregation for
efficient data retrieval. Enabled seamless frontend integration by optimizing data handling and pagination performance.

SDE INTERN SAMSUNG SDS 03/23 - 06/23


 Internship Certificate Link
 Cleared Advance Level Software Test.
 Implemented Data Structures and Algorithms using C++.

EDUCATION
Harcourt Butler Technical University - B.Tech , Computer Science & Engineering. CGPA – 8.343 2019 – 2023
PROJECTS

ChatBot RAG Python | HuggingFace | FastAPI | Gradio | LLM | FAISS


 Introduction- Developed a Retrieval-Augmented Generation (RAG) chatbot with capabilities to upload and process
documents, store embeddings in FAISS for efficient retrieval, and generate context-aware responses using LLMs.
Integrated functionality to match responses with relevant document pages and display page images for enhanced
transparency and user validation. Designed a seamless frontend for document upload, model selection, and contextual
interaction, backed by robust APIs for data handling and query processing.
 Frontend- Enabled functionalities to upload documents for context, select the model, and display the document page
image used for LLM responses.
 BackEnd- Designed APIs in FastAPI to handle document uploads, responses, and response images. Implemented
embedding storage using FAISS vector store, retrieved top K chunks for context, and integrated query and context into LLM
prompts for response generation. Matched responses with relevant PDF pages to display corresponding page images

Flash Chat App Flutter | Dart | FireBase | Android Studio


 A Group Chatting App using Firebase Fire Store.
 Used Flutter Animations and Email-Password Authentication from Firebase Authentication.

BMI Calculator Flutter | Dart | Android Studio


 Calculates Body Mass Index with Amazing UI & UX.
ACHIEVEMENTS
 AIR-550 in CODEKAZE-22 by Coding Ninjas and Won the Cash Prize (240/240 Marks). (Link)
 Secured Global Rank of 119 and 128 in Codechef’s Long Challenge in the month of April and January among 26k+ participants.
 5th Rank in Coding Ninjas HBTU Competition ( 530/660 Marks ) (Link).
 Highest rating of 1918 and rated 4* at Codechef which ranks among the top sites for competitive programmers.
 Solved 1500+ coding problems on Leet Code and GeeksforGeeks,and 500+ on Codeforces ,Codechef and Hackerrank.
 Qualified for Pre-Elimination Round of SNACKDOWN-21. (Link)
 Round-C GOOGLE KICK START-21. (Link)
SKILLS
 Algorithms, Data Structures, Object -Oriented Programing, Operating System, DataBase Management System.
 Programming Languages – C++, C, Python,
 Excellent Written and Verbal Communication.

PROFILE LINKS
 Codechef : @sumitsingh159  Codeforces : @sumitsingh159  Git Hub : @sumitsingh159
 LeetCode : @sumitsingh159  GFG : @sumitsingh159  HackerRank: @sumitsingh159

STRENGTHS
 Team Player, Dedicated Towards Work, Eagerness to Explore and Learn.

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