Sahil Pandey

Software Engineer

Mumbai, Maharashtra, India2 yrs 6 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Developed advanced ML models for Bitcoin price forecasting.
Engineered a multiplatform chatbot with speech recognition capabilities.
Improved medical imaging classification accuracy by 12%.

Stackforce AI infers this person is a Fintech and Healthcare-focused Machine Learning Engineer with strong backend development skills.

Contact

sahilpandey227@gmail.com LinkedIn

Skills

Core Skills

Backend DevelopmentCloud ComputingMachine LearningAlgorithm DevelopmentComputer VisionResearchWeb DevelopmentApi DevelopmentArtificial Intelligence

Other Skills

AWSAlgorithmic TradingArtificial Neural NetworksBiLSTMC++CI/CDCNNChatbot DevelopmentClassificationConvolutional Neural Networks (CNN)Data AnalysisData ScienceDeep LearningDockerExpress.js

About

I'm a Final year Computer Science and Business student at IIITL, with a strong passion for Machine Learning and Computer Vision. My unique blend of technical and business skills enables me to approach problems from multiple perspectives and develop innovative solutions. Skilled in Python, TensorFlow, OpenCV, and data analysis, I have experience in applying ML techniques to Computer Vision tasks. I'm an excellent problem solver, a quick learner, and a strong team player. I'm open to connecting with like-minded professionals, exploring new opportunities, and sharing knowledge. Feel free to reach out for collaboration, networking, or just a friendly chat.

Experience

2 yrs 6 mos

Total Experience

1 yr 5 mos

Average Tenure

1 yr 1 mo

Current Experience

Edgetensor

SDE

May 2025 – Present · 1 yr 1 mo · Bengaluru, Karnataka, India · On-site

Developing scalable, distributed backend services using Python, Flask, MongoDB, and Redis.
Building asynchronous, event-driven workers to improve throughput and system reliability.
Designing RESTful APIs focused on scalability, performance, and fault tolerance.
Deploying containerized applications on AWS with Docker, Kubernetes, and CI/CD pipelines for automated scaling and resilience.

PythonFlaskMongoDBRedisRESTful APIsAWS+5

Probo

SDE Intern

Oct 2024 – Apr 2025 · 6 mos · Gurugram, Haryana, India · On-site

Built and deployed ML models to forecast Bitcoin price direction 10 minutes ahead with 66.2% accuracy,using Random Forest, BiLSTM, and CNN.
Engineered real-time data pipelines using Redis and WebSockets, processing 10,000+ updates per
minute for efficient market data handling and trading.
Designed and implemented event-driven trading systems, executing trades based on model predictions with sub-second latency, optimizing response time to market changes.

Machine LearningData ScienceRandom ForestBiLSTMCNNRedis+2

Nit trichy

Research Intern

Feb 2024 – Aug 2024 · 6 mos

Conceptualizing advanced CNN architectures under the guidance of Dr. Jitendra Kumar in the Computer Applications Department.
Leveraging TensorFlow for developing highly accurate SOTA computer vision models for medical imaging classification. resulting in a 12% increase in classification accuracy compared to baseline models.

CNNTensorFlowMedical ImagingImage ProcessingPythonArtificial Intelligence+2

Hdfc ergo general insurance

SDE Intern

Dec 2023 – Feb 2024 · 2 mos · Mumbai, Maharashtra, India · On-site

Deployed a Next.js API using TypeScript and the MSAL library to launch a time-based OTP
system, enhancing user login security by dynamically generating a 60-second OTP.
Led the streamlining of the process, offering a secure, password-free login experience and reducing total user login time by 3 hours daily.
Successfully integrated API with PostgreSQL Database, ensuring seamless retrieval by over 6k daily users.

TypeScriptNext.jsMSALPostgreSQLJavaScriptExpress.js+5

Axios, iiit lucknow

2 roles

Senior member ML wing

Promoted

Aug 2023 – Sep 2024 · 1 yr 1 mo

ML wing member

Apr 2023 – Aug 2023 · 4 mos

PythonPandasNumPyMachine LearningDeep Learning

Munshig

Artificial Intelligence Intern

Apr 2023 – Jun 2023 · 2 mos · Rajasthan, India · Remote

Engineered a multiplatform chatbot using GPT-4 API, incorporated Rasa for NLU and processing. Integrated the chatbot with Whisper API to enable speech-to-text command capability.
Expanded the chatbot's accessibility by integrating it with Telegram, Discord, and WhatsApp

GPT-4RasaWhisper APIChatbot DevelopmentMongoDBWeb Services API+1