Muskan Ghai
Jalandhar
Summary
Motivated and innovative Computer Science graduate with 3.5+ years of professional experience as a Senior Software Developer, delivering AI-powered web solutions, and leading stakeholder training sessions. Possess a strong foundation in machine learning, NLP, and full-stack development, backed by academic research in sentiment analysis. Eager to deepen technical expertise through graduate studies in Artificial Intelligence, and contribute to cutting-edge research in the field.
Overview
4
4
years of professional experience
Work History
Sr. Software Engineer
Grazitti Interactive
Panchkula
01.2022 - Current
- Decoupled SUVA (GenAI-powered chatbot) from the core platform ( SearchUnify ), enabling modular deployment and faster integration cycles.
- Led the UI/UX overhaul for SUVA 2.0, showcased at the TSIA World Conference 2024, driving a 20% increase in sales leads.
- Applied prompt engineering to fine-tune LLM responses using OpenAI and Claude APIs, improving relevance and accuracy.
- Engineered agentic workflows using LangGraph, seamlessly integrating tools, autonomous agents, and a custom Retrieval-Augmented Generation (RAG) pipeline that leveraged prompts, semantic context, and conversation history to deliver highly personalized, context-aware conversational experiences.
- Delivered several customer-centric features, including analytics improvements and STT/TTS accessibility, integrating seamlessly across Zendesk, Khoros, and Salesforce platforms.
- Received 100% positive client feedback in expert-led training programs.
- Contributed to the People & Culture Committee, promoting a thriving, inclusive workplace environment.
Trainee
Grazitti Interactive
Panchkula
06.2021 - 12.2021
- Achieved the "Cheerful Person" award for spreading positivity to motivate everyone and provide a good time during training.
- I completed training in the MEAN stack and enhanced my HTML5, CSS, JavaScript, MySQL, and object-oriented programming skills.
- Built multiple web applications with HTML, CSS, and JavaScript.
Education
B.Tech - Computer Science Engineering
Guru Nanak Dev University
Amritsar, India06.2021
Class 12 (Non-med) -
G.G.S.S.S Nehru Garden
Jalandhar, India03.2017
Skills
Frontend: HTML5, CSS/SCSS, JavaScript, TypeScript, Angular, React
Backend: Nodejs, Expressjs, KafkaJS, Socketio, Python, Flask
Database: MySQL, MongoDB, PostgreSQL, Redis
Cloud: Microsoft Azure (Speech Services), Amazon S3 (Basic)
AI/ML & GenAI: scikit-learn, LangChain, RAG, Prompt Engineering, NLP (tokenization, summarization, sentiment analysis)
Tools & Frameworks: Docker, Git, Postman, LangGraph
Accomplishments
- Team Player (LUMINA 2025) : For consistently demonstrating initiative and making an impact by going above and beyond to ensure team goals are met.
- Star Performer (November 2024): Awarded for full ownership of the SearchUnify bot project — from development to go-live — showcasing initiative, accountability, and delivery excellence.
- Monthly Reward & Recognition (June 2024): For redesigning the UI/UX of SUVA 2.0, showcased at the TSIA World Conference 2024, contributing to a 20% boost in sales leads.
- Star Performer (April 2023): For decoupling SUVA from the core SearchUnify platform, enabling modular deployment and faster integrations.
- Cheerful Person Award (Dec 2021): For consistently spreading positivity, boosting team morale, and delivering quality work during the training period.
- District Level 2nd at 23rd National Science Congress (May 2016)
Projects
- Smart Meeting Summarizer and Action Tracker (06/2025) - Built an end-to-end platform to transcribe meetings using Whisper, summarize key points with GPT-4 (via LangChain), and auto-assign action items based on participant roles, integrated with Trello and Notion APIs to sync tasks, implemented a searchable meeting repository with export options, and developed dashboard and planner views using Flask/Streamlit.
- Social media sentiment analysis (01/2021 - 03/2021) - The project detects hate speech in tweets through data preprocessing and cleaning, feature extraction, and sentiment analysis model development, and key steps include tokenization, stemming, and fine-tuning to accurately identify racist and sexist content - https://drive.google.com/file/d/1Gh5iMgaXUVwEDvZvONb9lrDxC1b0kxlw/
Languages
English, Hindi, Punjabi
Hobbies and Interests
Documentaries, Anime, Sketching and Ink Art
Timeline
Sr. Software Engineer
Grazitti Interactive
01.2022 - Current
Trainee
Grazitti Interactive
06.2021 - 12.2021
B.Tech - Computer Science Engineering
Guru Nanak Dev University
Class 12 (Non-med) -
G.G.S.S.S Nehru Garden
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