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	{
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	"full_text": "Akshit Sharma \nFinal‑Year B.Tech (AI & Data Science) \| Backend & AI/ML Engineer \| Cloud‑Native Systems \nakshitsharma7096@gmail.com/ +91 8810248097/Github / Linkedin / LeetCode / CodeForces \nSKILLS\n \n●\nProgramming Languages: Python, Java, C/C++, JavaScript, SQL, React, Node.js, TypeScript, Flask, FastAPI \n●\nDatabases & Tools: Pandas, NumPy, Matplotlib, MongoDB, Postgre \n●\nML/AI & Frameworks: TensorFlow, PyTorch, NLP, Computer Vision, Transformers, RAG, LangChain \n●\nCloud & DevOps: AWS, Google Cloud Platform, OpenStack SDK, Docker, Kubernetes \n●\nSystems & Fundamentals: Unix/Linux, TCP/IP Networking, Git, Data Structures & Algorithms, Computer Networks \nEXPERIENCE\n \nResearch Intern \| Directorate of Research, Government of Arunachal Pradesh\n\n \n(August 2025 – Present) \n●\nDeveloped a low-resource speech-to-speech translation pipeline using Wav2Vec 2.0 for ASR, MarianMT for NMT, and Tacotron 2 \nfor TTS, focusing on endangered languages with context-dependent meanings. \n●\nOptimised system architecture to reduce translation latency to under 2 seconds, enabling real time deployment for field use. \nDeep Learning Intern \| Akanila Technologies \n https://github.com/akshit7093/Chatbot-for-websites \n(July 2024 – December 2024) \n●\nDeveloped a universal chatbot platform by fine‑tuning Llama3.1 LLM using LoRA and integrating RAG with FAISS for \ndomain‑specific retrieval, boosting query accuracy to 90 % and improving response relevance by 25 %. \n●\nDesigned a flexible Python backend with modular components in FastAPI increasing code reusability to 65% . \n●\nImplemented automated deployments on AWS EC2, leveraging Docker for containerization and Kubernetes for container \norchestration. \nMachine Learning Intern \| CodSoft \n https://github.com/akshit7093/CODSOFT \n(August 2024 – September 2024) \n●\nDeveloped a credit card fraud detection system using XGBoost, analyzing 1 million transaction records. \n●\nEngineered 20+ features from behavioral and time-series data then trained an XGBoost model on SageMaker to drop false \npositives from 20% to 5% while keeping recall over 90%. \n●\nBuilt an NLP model for SMS spam detection using Python and scikit-learn, achieving 95% accuracy on test data. \nPROJECT\n \nOpenStack Cloud Management System with Natural Language Interface https://github.com/akshit7093/VM_manager_AgenticAi \n●\nBuilt a cloud management system interfacing with OpenStack infrastructure APIs. \n●\nEnabled users to issue natural language prompts (e.g., \"create a server\" or \"delete a volume\"), which an AI agent created using \nLangChain and Google's Gemini-2.5 pro model translated into precise OpenStack API calls. \n●\nBuilt an interactive CLI and a web app for remote management, featuring resource analytics and container monitoring per VM. \n●\nDesigned RESTful backend with Fastapi and containerized the application using Docker. \n●\nTechnologies: Python, OpenStack SDK, Gemini, Fastapi, Docker, LangChain \nSignEase -Video calling platform for individuals with disabilities https://github.com/akshit7093/Sign-language-translator.git \n●\nCreated a video chat application using React and Node.js to enable video communication with ASL translation. \n●\nImplemented American Sign Language (ASL) detection using MediaPipe for landmarks and an LSTM network in TensorFlow, \nreaching 89% accuracy on a small dataset of 20 videos. \n●\nReduced latency from 500ms to 180ms using model quantization (TensorFlow Lite) and frame-rate optimization. \n●\nTechnologies: Python, TensorFlow, WebRTC, React, Node.js, MediaPipe. \nEDUCATION \n \nMaharaja Agrasen Institute of Technology\n\n\n\n\n\n\n(June 2022 - June 2026) \n●\nB.Tech. in Computer Science with a specialization in Artificial Intelligence and Data Science \n●\nCGPA:8.96/10 \n\n\n\n\n\n\n\n \n●\nRelevant Coursework: Machine Learning, Data Mining, Image Processing, Data Structures and Algorithms, Computer Networks \nCERTIFICATIONS \n \n●\nData Science (Pwskills) \n●\nMachine Learning and Deep Learning Specialization (Coursera) \n●\nAWS Solutions Architect Virtual Experience Program (Forage) \n●\nIntroduction to Generative AI (Google) \n●\nDevelop GenAI Apps with Gemini and Streamlit (Google) \n●\nPrompt Design in Vertex AI (Google) \nACHIEVEMENTS \n \n●\nWinner – AceCloud X RTDS Hackathon ‘25",
	"full_text_preview": "Akshit Sharma \nFinal‑Year B.Tech (AI & Data Science) \| Backend & AI/ML Engineer \| Cloud‑Native Systems \nakshitsharma7096@gmail.com/ +91 8810248097/Github / Linkedin / LeetCode / CodeForces \nSKILLS\n \n●\nProgramming Languages: Python, Java, C/C++, JavaScript, SQL, React, Node.js, TypeScript, Flask, FastAPI \n●\nDatabases & Tools: Pandas, NumPy, Matplotlib, MongoDB, Postgre \n●\nML/AI & Frameworks: TensorFlow, PyTorch, NLP, Computer Vision, Transformers, RAG, LangChain \n●\nCloud & DevOps: AWS, Google...",
	"professional_links": [
	"mailto:akshitsharma7096@gmail.com",
	"https://github.com/akshit7093",
	"https://www.linkedin.com/in/akshit-sharma-475a94271/",
	"https://leetcode.com/u/akshitsharma7093/",
	"https://codeforces.com/profile/akshit7093",
	"https://github.com/akshit7093/Chatbot-for-websites",
	"https://github.com/akshit7093/CODSOFT",
	"https://github.com/akshit7093/VM_manager_AgenticAi",
	"https://github.com/akshit7093/Sign-language-translator.git",
	"https://www.cloudskillsboost.google/public_profiles/1b626606-8403-4450-9b1a-dbba876587d7/badges/9194948",
	"https://www.cloudskillsboost.google/public_profiles/1b626606-8403-4450-9b1a-dbba876587d7/badges/9194066",
	"https://www.cloudskillsboost.google/public_profiles/1b626606-8403-4450-9b1a-dbba876587d7/badges/9140322",
	"https://drive.google.com/file/d/1OeO7jFd7le1gg_6I0oBGjmsBIfA50p73/view?usp=sharing"
	],
	"skills_summary": "Akshit Sharma FinalYear B.Tech (AI Data Science) Backend AIML Engineer CloudNative Systems akshitsharma7096gmail.com 91 8810248097Github Linkedin LeetCode CodeForces SKILLS Programming Languages: Python, Java, CC, JavaScript, SQL, React, Node.js, TypeScript, Flask, FastAPI Databases Tools: Pandas, NumPy, Matplotlib, MongoDB, Postgre MLAI Frameworks: TensorFlow, PyTorch, NLP, Computer Vision, Transformers, RAG, LangChain Cloud DevOps: AWS, Google Cloud Platform, OpenStack SDK, Docker, Kubernetes Systems Fundamentals: UnixLinux, TCPIP Networking, Git, Data Structures Algorithms, Computer Networks EXPERIENCE Research Intern Directorate of Research, Government of Arunachal Pradesh (August 2025 Present) Developed a low-resource speech-to-speech translation pipeline using Wav2Vec 2.0 for ASR, MarianMT for NMT, and Tacotron 2 for TTS, focusing on endangered languages with context-dependent meanings. Optimised system architecture to reduce translation latency to under 2 seconds, enabling real time deployment for field use. Deep Learning Intern Akanila Technologies https:github.comakshit7093Chatbot-for-websites (July 2024 December 2024) Developed a universal chatbot platform by finetuning Llama3.1 LLM using LoRA and integrating RAG with FAISS for domainspecific retrieval, boosting query accuracy to 90 and improving response relevance by 25 . Designed a flexible Python...",
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	"C++",
	"Typescript",
	"Flask",
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	"Pytorch",
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