Krish Goyal — Software Engineer

As a 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭 𝐚𝐧𝐝 𝐀𝐈 with 1.8 years of experience, I build intelligent systems that connect algorithms with real-world business impact. My journey has been defined by curiosity, precision, and a constant desire to push the boundaries of what AI can achieve. At Tech Mahindra, I’ve designed and deployed end-to-end AI solutions, from building RAG-powered chatbots using Google Gemini, GCP Vertex AI, and FastAPI, to developing Agentic AI systems integrating Claude, Llama 3.2, and MCP for scalable document intelligence. I also led projects in computer vision using YOLOv8, cutting false alerts by 70% while maintaining 95%+ accuracy, proof that data done right can transform efficiency. My foundation lies in machine learning, deep learning, NLP, data visualisation, and MLOps, skills I’ve honed through both industry projects and national-level hackathons like IGNITION 2023 and HACKVERSE’23, where I secured top positions. I believe in learning fast, experimenting fearlessly, and delivering AI that’s not just innovative, but impactful. Whether it’s forecasting stock movements using hybrid ML models or building GenAI-powered market intelligence tools, I thrive on creating solutions that make data speak — with clarity and purpose. 🔹 𝐂𝐨𝐫𝐞 𝐒𝐭𝐫𝐞𝐧𝐠𝐭𝐡𝐬: Machine Learning | GenAI | RAG Systems | LLMs | Python | Cloud AI (GCP, AWS, Azure) | PySpark | NLP | Data Engineering 🔹 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬: Google ML Engineer | Microsoft Azure AI Engineer | AWS AI Practitioner | Oracle GenAI Professional If you’re passionate about AI innovation, generative intelligence, or large-scale data solutions, let’s connect because the future belongs to those who turn data into direction!!

Stackforce AI infers this person is a Data Science and AI professional with a focus on innovative solutions in SaaS.

Location: Bengaluru, Karnataka, India

Experience: 2 yrs 10 mos

Skills

Artificial Intelligence (ai)
Cloud Ai
Software Development
Computer Vision
Cloud Computing
Data Analysis

Career Highlights

Designed AI solutions reducing false alerts by 70%
Led development of innovative chatbot for market intelligence
Achieved top positions in national-level hackathons

Work Experience

Tech Mahindra

Software Engineer (1 yr 11 mos)

Associate Trainee (5 mos)

IntersectIQ

Data Science & Software Engineering Intern (5 mos)

U R Rao Satellite Centre (URSC), ISRO

Trainee Engineer (1 mo)

Google Developer Student Clubs

GDSC Lead (11 mos)

Microsoft

Future Ready Talent Intern (2 mos)

IBM

Data Analytics Intern (2 mos)

Education

Bachelor of Science - BS at Christ University, Bengaluru

Class 12 at City Montessori School

Science with Mathematics at City Montessori School

Krish Goyal

Software Engineer

Bengaluru, Karnataka, India2 yrs 10 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Designed AI solutions reducing false alerts by 70%
Led development of innovative chatbot for market intelligence
Achieved top positions in national-level hackathons

Stackforce AI infers this person is a Data Science and AI professional with a focus on innovative solutions in SaaS.

Contact

Skills

Core Skills

Artificial Intelligence (ai)Cloud AiSoftware DevelopmentComputer VisionCloud ComputingData Analysis

Other Skills

AIAnomaly DetectionAnsibleAzureAzure App ServiceAzure Health BotAzure SQLBig DataCascading Style Sheets (CSS)ChatGPT APIChroma DBCloud FirestoreConvolutional Neural Networks (CNN)Data AnalyticsData Integration

About

Experience

2 yrs 10 mos

Total Experience

1 yr 2 mos

Average Tenure

2 yrs 4 mos

Current Experience

Tech mahindra

2 roles

Software Engineer

Jul 2024 – Present · 1 yr 11 mos · Bengaluru, Karnataka, India

👉 Spearheaded the development and deployment of cutting-edge AI solutions, utilizing Retrieval-Augmented Generation (RAG) architecture to process multimodal data for market intelligence and localization.
👉 Led the creation of a scalable Market Intelligence Chatbot on Google Cloud Platform, integrating Google Gemini with Vertex AI Search for serverless deployment and delivering an intuitive, user-friendly interface through Streamlit.
👉 Designed and deployed an Offline Localization System incorporating Chroma DB, Llama 3.2, and FastAPI, driving enhanced accessibility and seamless user interaction for diverse audiences.
💡 Applied strong expertise in AI and Data Analytics, gaining practical experience and laying a solid foundation for future advancements in AI development.
💡 Demonstrated end-to-end proficiency in AI project development, cloud integration, and delivering actionable insights, ensuring impactful results across multiple domains.
💡 Certified in AI industry graded level insights and certifications such as AI White Belt, AI Blue Belt, and GenAI with Databricks L1 V1.
✌ Fostered innovation and technical excellence through a collaborative approach with cross-functional teams, ensuring effective communication and timely project delivery.
✌ Recognized for impactful contributions to product development, showing exceptional adaptability and a solution-driven mindset in complex, fast-paced environments.

Retrieval-Augmented Generation (RAG)Google Cloud PlatformStreamlitAIData AnalyticsArtificial Intelligence (AI)+1

Associate Trainee

Jan 2024 – Jun 2024 · 5 mos · Bengaluru, Karnataka, India

Spearheaded the development of a full-stack application using React JS and the Django framework in Python. This application aimed to automate the resume screening process for HR by leveraging the ChatGPT API to rank resumes based on authenticity of relevant keyword matching.
Successfully implemented the automated resume screening system, resulting in a remarkable 50% improvement in company operations. This initiative significantly reduced manual effort for HR personnel, streamlining candidate evaluations and enhancing workflow efficiency.

React JSDjangoChatGPT APISoftware DevelopmentArtificial Intelligence (AI)

Intersectiq

Data Science & Software Engineering Intern

Jan 2024 – Jun 2024 · 5 mos · Bengaluru, Karnataka, India · Remote

Led the development of computer vision projects leveraging YOLOv8 and YOLOv5 frameworks for precise object segmentation and detection. Key achievements include the successful detection of individuals standing on trucks and the implementation of anomaly detection algorithms using mathematical logic.
Spearheaded a project focused on optimizing camera systems for metal spark detection, resulting in a notable 70% reduction in alerts while maintaining an accuracy rate of 95% and above. These initiatives showcased the effectiveness of our models, enhancing operational efficiency and saving valuable time.

YOLOv8YOLOv5Anomaly DetectionComputer VisionArtificial Intelligence (AI)

U r rao satellite centre (ursc), isro

Trainee Engineer

Jan 2024 – Feb 2024 · 1 mo · Bengaluru, Karnataka, India · On-site

Spearheaded the optimization of a bespoke Python script, facilitating automated scheduled dashboard updates for critical job tasks. This initiative led to a remarkable 50% reduction in manual effort, translating into a substantial time-saving of over 20 hours per week.
Acquired invaluable expertise in Ubuntu systems and refined proficiency in error handling through the command line. This immersive, hands-on experience fortified my ability to swiftly troubleshoot and resolve issues, significantly enhancing my prowess as a versatile coder.

PythonUbuntuSoftware Development

Google developer student clubs

GDSC Lead

Jul 2023 – Jun 2024 · 11 mos · Pune, Maharashtra, India · On-site

Took the initiative and succeeded in bringing the GDSC Community to the University.
Appointed as the GDSC Lead position for 2023-24.

Microsoft

Future Ready Talent Intern

Jul 2023 – Sep 2023 · 2 mos · Work from home

I've had an outstanding experience with Future Ready Talent. During my time with them, I had the chance to immerse myself in Azure services, allowing me to develop a strong understanding of the fundamentals of cloud computing. I also had the opportunity to work on a project focused on Diabetes Prediction, utilizing Azure Health Bot for consultation and Azure App Service for implementation.

AzureDiabetes PredictionCloud Computing

Ibm

Data Analytics Intern

Jun 2023 – Aug 2023 · 2 mos · Work from home

Applied different Visualizations techniques on Superstore Sales data and used various libraries such as
Plotly, etc., also visualized the data points through Power BI to study the Profit and Sales Analysis closely &
understood the customer sales trends, which will help the supermarket to optimize the purchase.

Data VisualizationPower BIData Analysis