RISHABH SRIVASTAVA

Python Engineer

https://www.opentalent.in/rishabh-srivastava

Lucknow, indiaMember since July 29, 2025

Key Strengths

Exceptional technical proficiency and extensive experience (7+ years) in Machine Learning, Deep Learning, and Computer Vision, making the candidate a strong match for a Python Engineer role with an ML/DL focus.
Comprehensive understanding and hands-on experience across the entire ML lifecycle, including model training (YOLO, REIDnet, CNNs, Vision Transformers, LLMs like Qwen), data augmentation (TrafficSignGAN, Stable Diffusion), deployment (Deepstream, Triton Inference Server, TensorFlow Lite, NCNN, OpenVINO), and MLOps (MLFlow, Docker, Kubernetes, CI/CD).
Strong backend development skills with Python (FastAPI, Flask), Java (Spring Boot), Node.js, and C++ for performance-critical components, demonstrating versatility in building robust systems.
Deep expertise in cloud platforms (AWS EC2, S3, EKS, Elastic Beanstalk) and containerization (Docker, Kubernetes), essential for modern scalable ML deployments.
Proven experience with real-time data processing and streaming technologies (Kafka, WebRTC, WebSockets, Socket.IO, MQTT), crucial for real-time analytics and ADAS systems.
Proficient with modern AI tools including vector databases (PGvector, Milvus, FAISS) and LLM frameworks (LangChain, LangGraph, OpenAI SDK), showcasing up-to-date skills in generative AI and semantic search.
Demonstrated ability to work with embedded systems (NVIDIA Jetson Nano) and optimize models for edge computing environments, indicating practical deployment capabilities in constrained hardware.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 0 is a critical red flag. Based strictly on this provided data, the candidate does not meet the minimum requirements for cultural fit. This score indicates a potential severe mismatch or a failure to complete the assessment, making a positive assessment of cultural fit impossible without immediate clarification and re-evaluation.

Soft Skills & Operational Fit

The candidate's experience as a 'Lead Engineer' and 'Team Admin for AWS And Docker' suggests capabilities in leadership, project coordination, and operational management. The ability to design and implement complex end-to-end pipelines indicates strong problem-solving and architectural thinking. The breadth of technologies used implies adaptability and a continuous learning mindset. However, a comprehensive assessment of soft skills like communication, collaboration, and conflict resolution is severely limited by the absence of specific interview data and the critical 0 score on the psychometric test.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Experience

UPWORK

Subcontractor L3

April 1, 2024 – Present

VAYAVYA LABS

Lead Engineer

February 1, 2023 – April 1, 2024

Benagaluru, KA

LOCONAV

Senior Software Development Engineer

December 1, 2021 – February 1, 2023

Gurugram, HR

AGILIAD TECHNOLOGIES

Senior Software Engineer

June 1, 2021 – November 1, 2021

Pune, MH

QUALITAS TECH

Senior Software Engineer, Team Admin for AWS And Docker

February 1, 2020 – February 1, 2021

Bengaluru, KA

KREATIVPLM

Intern

March 1, 2019 – February 1, 2020

Pune, MH

Key Strengths

Exceptional technical proficiency and extensive experience (7+ years) in Machine Learning, Deep Learning, and Computer Vision, making the candidate a strong match for a Python Engineer role with an ML/DL focus.
Comprehensive understanding and hands-on experience across the entire ML lifecycle, including model training (YOLO, REIDnet, CNNs, Vision Transformers, LLMs like Qwen), data augmentation (TrafficSignGAN, Stable Diffusion), deployment (Deepstream, Triton Inference Server, TensorFlow Lite, NCNN, OpenVINO), and MLOps (MLFlow, Docker, Kubernetes, CI/CD).
Strong backend development skills with Python (FastAPI, Flask), Java (Spring Boot), Node.js, and C++ for performance-critical components, demonstrating versatility in building robust systems.
Deep expertise in cloud platforms (AWS EC2, S3, EKS, Elastic Beanstalk) and containerization (Docker, Kubernetes), essential for modern scalable ML deployments.
Proven experience with real-time data processing and streaming technologies (Kafka, WebRTC, WebSockets, Socket.IO, MQTT), crucial for real-time analytics and ADAS systems.
Proficient with modern AI tools including vector databases (PGvector, Milvus, FAISS) and LLM frameworks (LangChain, LangGraph, OpenAI SDK), showcasing up-to-date skills in generative AI and semantic search.
Demonstrated ability to work with embedded systems (NVIDIA Jetson Nano) and optimize models for edge computing environments, indicating practical deployment capabilities in constrained hardware.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit