Akshat Ansh Nayak

Co-Founder

Kharagpur, West Bengal, India3 yrs 8 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Innovative leader in sustainable fashion marketplace
Expertise in AI and data strategy from Accenture
Successful project execution for large-scale events

Stackforce AI infers this person is a SaaS and Healthcare-focused professional with strong capabilities in AI and project management.

Contact

Skills

Core Skills

FlutterAwsNatural Language Processing (nlp)Retrieval Augmented Generation (rag)Large Language Models (llm)Deep Reinforcement LearningManufacturing Process ImprovementMachine LearningMotion PlanningComputer Vision

Other Skills

ARIMAAmazon Web Services (AWS)ArduinoC (Programming Language)C++Competitive ProgrammingData StructuresData VisualizationDeep LearningDeep Neural Networks (DNN)DjangoDockerFastAPIFirebaseGit

About

At RenewHeat, our team is innovating India's sustainable fashion scene, fostering a marketplace for pre-loved clothes that bolsters small businesses. My journey in Mech Engineering at IIT Kharagpur, with an expected completion in 2025, grounds me in a robust analytical foundation, pivotal for my entrepreneurial and data strategy endeavors. Previously, I've applied my competencies in AI, evidenced by multiple specialized certifications, to effectively strategize in Accenture's data and AI sector. My leadership was instrumental in managing the logistics of a substantial cultural event at IIT, coordinating over 3500 participants and a significant budget, showcasing my capacity for large-scale project execution and team management.

Experience

3 yrs 8 mos

Total Experience

11 mos

Average Tenure

11 mos

Current Experience

Accenture

Ind & Func AI Decision Science Analyst

Jul 2025 – Present · 11 mos · Bengaluru, Karnataka, India · On-site

Inter iit tech meet 13.0

Senior Member

Sep 2024 – Dec 2024 · 3 mos · Kharagpur, West Bengal, India · On-site

Bagged Overall Gold amongst 23 participating IITs with a whooping margin of 1125 points
Designed a state-of-the-art multi-agent RAG pipeline tailored for legal and financial domains, achieving retrieval, analysis, and synthesis of information from 10,000+ documents integrating query decomposition, multi-hop retrieval, and metadata-driven filtering, complemented by a human-in-the-loop interface with chat memory and interactive visualization tools

Natural Language Processing (NLP)Python (Programming Language)Retrieval Augmented Generation (RAG)DockerAmazon Web Services (AWS)LangChain+2

Accenture in india

Data and AI, Strategy and Consulting Global Networks

May 2024 – Jul 2024 · 2 mos · Bangalore · On-site

Microsoft AzureRetrieval Augmented Generation (RAG)Large Language Models (LLM)OpenAI APILangChainNeo4j+1

Renewheat

Co-Founder

Feb 2024 – Present · 2 yrs 4 mos · Kharagpur, West Bengal, India · Remote

India’s first unified marketplace for pre-loved clothes, empowering small businesses and promoting sustainable fashion.

FlutterFirebaseAmazon Web Services (AWS)FastAPIReact NativeNode.js+1

Inter iit cultural meet

Logistics Coordinator

Sep 2023 – Jan 2024 · 4 mos · IIT Kharagpur · On-site

Orchestrated 48 competitive events across 11 cups, managing 3500+ participants from 22 IITs, leading a core team of 110+ members.
Oversaw budget of INR 1.2 crores, handling logistics including hospitality, accommodation, venue management, vendor coordination, and events execution.

University of victoria

Summer Research Associate

May 2023 – Jul 2023 · 2 mos · Victoria, British Columbia, Canada · On-site

Collaborated with NTWIST under the MITACS Research Associate program to enhance food production scheduling efficiency through Deep Reinforcement Learning.
Developed a deep learning model to optimize manufacturing orders, resulting in a 14% reduction in production lead time.

SchedulingManufacturing Process ImprovementData VisualizationRecurrent Neural Networks (RNN)Deep Neural Networks (DNN)Deep Reinforcement Learning

Indian institute of science (iisc)

Winter Intern

Dec 2022 – Jan 2023 · 1 mo · Bengaluru, Karnataka, India

Developed an efficient collision-checking algorithm for sampling-based motion planning with kinematic constraints under Prof. Debasis Ghose at IISc.
Implemented safety certificates to ensure robustness and reliability of the algorithm.
Collaborated with the Department of Aerospace Engineering to enhance the algorithm's performance and accuracy.

Data VisualizationMotion PlanningData Structures

Indian institute of technology, kharagpur

Research Assistant

Jan 2022 – May 2023 · 1 yr 4 mos · On-site

Developed an automated diagnostic tool for Major Depressive Disorder (MDD) following SCID-CV guidelines.
Built a dynamic website application and chatbot to collect tailored data from Indian households.
Integrated a machine learning model for accurate MDD diagnosis.

JavaScriptAmazon Web Services (AWS)Machine LearningNatural Language Processing (NLP)DjangoData Visualization+1

Entrepreneurship cell, iit kharagpur

Associate Member

Jun 2021 – Sep 2021 · 3 mos

Technology robotix society

Sub head

May 2021 – May 2022 · 1 yr

Organized the Winter School of AI and Robotics, teaching 500+ students concepts of Computer Vision, Autonomous Robotics, and Machine Learning.
Developed a human-following omnidirectional bot using a Fine-tuned Transfer Learning model for person detection and GPIO codes for motor control.

Machine LearningMotion PlanningComputer VisionArduinoRobot Operating System (ROS)