Deep Learning for Developers

Personal Expense Manager App using Flutter

Agile Scrum Certifications

CERTIFICATION: Principles of Generative AI

Smart and Secure Parking Management System

Facial Recognition Attendance System Using Python and OpenCV

Smart Thermostat using Arduino

Handwritten Text Recognition using kNN

CERTIFICATION: Artificial Intelligence Primer

Cyber Security and Digital Forensics Labs - TDXArena

Secondary School (Class X)

Senior Secondary School (Class XII)

Bachelor of Engineering - BE

Core Member and Head of Designs and Management

• Built a plug–and–play LLM-based monitoring agent with real–time performance visualization, interactive debugging, and modular integration; reduced deployment time by 30% across varied LLM environments.
• Engineered scalable agent monitoring and benchmarking pipelines using CrewAI, LangChain, LangGraph, and LangServe, enabling continuous real-time insights and improving LLM workflow efficiency by 25%.

Generative AI Research And Development Intern

Worked on a project titled "Lingual Sense: Deep Learning for Language Detection", focusing on automatic identification of languages in multilingual text data.
Key contributions:

- Built and evaluated deep learning models (GRU, LSTM, MLP) for language classification across 30 languages using a 32k+ row dataset

- Achieved highest performance with a GRU-based neural network, balancing speed and accuracy

- Performed comprehensive data cleaning, EDA, feature engineering (tokenization, padding, label encoding)

- Tackled class imbalance and overfitting using regularisation techniques

Explored deployment and real-world applications in content moderation and multilingual tools

Machine Learning Intern

Participated in the prestigious EricssonEdge Academia Program, designed to equip students with practical skills in next-generation technologies.


Key Highlights:

- Completed hands-on modules in 5G, IoT, AI/ML, Automation, and Telecommunications

- Applied supervised and unsupervised machine learning models to industrial case studies

- Explored real-time automation systems and innovations in smart connectivity

- Engaged in a live industry interaction session with Ericsson experts to understand global tech trends

- Recognised among the Top 500 participants across India, Australia, and Southeast Asia for outstanding performance


This experience enriched my understanding of emerging technologies and their real-world applications.

Tech Trainee – 5G, AI/ML, IoT, Automation, Telecommunications (EricssonEdge Program)

Software Engineering Intern

• Developed a LangChain + RAG-based intelligent scraper to extract and categorize OA, HR, and
interview-specific company questions, improving information retrieval speed by 40%.
• Created a LeetCode-like online judge using Django/DRF with custom compiler (no external APIs, support for 4
languages), custom I/O, test cases, and leaderboard from scratch.
• Integrated AI-driven code suggestions and optimization insights using LangChain, boosting developer
productivity and enhancing code quality across multiple workflows.

Software Engineer Intern

Computer Engineer

projects

github

leetcode

medium

codeforces

gumroad

devto

youtube

substack

Know about Swastik Sharma's work experience, education, bootcamps, certifications, and much more. Swastik Sharma

Resume of Swastik Sharma • Peerlist