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Animikh Aich AI Consultant & ML Engineer Available for Consulting Starting June 2026

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Animikh Aich

About Me

I build production-ready ML systems that solve "unsolvable" computer vision challenges and deliver massive business impact. My focus is on bridging the gap between bleeding-edge research and scalable, user-loved products.

Case in point: I single-handedly re-architected an ML pipeline to be 6x faster, slashing infrastructure costs by over $1 Million (~95%). I also pioneered an industry-first computer vision system to deliver a company's #1 most-requested feature, developing novel techniques to solve a challenge no competitor could.

From designing novel evaluation metrics for autonomous vehicles [IROS '25] to leading teams deploying analytics across 1 Million+ cameras, I specialize in turning complex technical problems into robust, high-performance solutions.

5+

Years Exp.

180+

Citations

MS in AI

Boston University

Download Resume

AI Consulting & Contracting Services

Expert Solutions for Your AI Challenges (Starting June 2026)

Why Hire Animikh Aich for AI Projects?

Animikh Aich is an AI consultant with 5+ years of experience delivering production-grade ML systems. He has saved companies over $1 million in infrastructure costs, led teams deploying AI across 1 Million+ cameras, and published peer-reviewed research at IROS 2025. He offers remote AI consulting and contracting services worldwide.

Hire Me for Your AI Project

Proven AI Impact & Results

$1M+

Annual Infrastructure Savings

6x

Inference Speed Improvement

95%

ML Pipeline Cost Reduction

20K+

Cameras with Real-Time AI

180+

Academic Citations

AI Infrastructure Optimization Services

Reduce your ML infrastructure costs by up to 95% with expert optimization. Animikh Aich specializes in re-architecting ML pipelines using NVIDIA Triton, TensorRT, and custom inference engines. He has saved companies over $1 million annually while achieving 6x faster inference speeds.

  • NVIDIA Triton & TensorRT deployment
  • Model quantization (INT8/FP16)
  • Cloud cost optimization (AWS, Azure, GCP)
  • High-throughput inference architecture
Get Infrastructure Audit

Computer Vision Contractor Services

Hire a computer vision expert with proven production experience. Animikh Aich builds real-time video analytics, object detection, and recognition systems deployed across 1 Million+ cameras. Specializing in solving "impossible" vision problems competitors cannot crack.

  • Real-time video analytics
  • Object detection & tracking
  • Re-identification (Human, Animal, Vehicle)
  • Night vision & image enhancement
Discuss Your Vision Project

LLM Optimization & RAG Consulting

Deploy production-ready LLM solutions with expert guidance. Animikh Aich optimizes large language models for enterprise use, implementing efficient RAG pipelines, model quantization, and scalable low-latency deployments that reduce inference costs while maintaining quality.

  • RAG pipeline architecture
  • LLM fine-tuning & optimization
  • Prompt engineering & evaluation
  • Production LLM deployment
Start LLM Project

MLOps & Large-Scale AI Deployment

Transform ML prototypes into production-grade systems deployed at scale. Animikh Aich designs end-to-end MLOps pipelines with automated training, deployment, and monitoring—proven across 1 Million+ camera deployments. From containerization with Docker to orchestration with Kubernetes, get your models to production reliably at any scale.

  • Large-scale AI deployment (20K+ cameras)
  • CI/CD for ML pipelines
  • Docker & Kubernetes deployment
  • Model monitoring & observability
Improve Your MLOps

AI Strategy & Technical Consulting

Get expert guidance on AI adoption and implementation strategy. Animikh Aich helps companies evaluate AI opportunities, build technical roadmaps, and avoid common pitfalls. With a research background (IROS 2025) and production experience, bridge theory to practice effectively.

  • AI feasibility assessments
  • Technical due diligence
  • Team training & mentorship
  • Architecture review & planning
Book Consultation

AI Research & Prototyping Services

Turn cutting-edge research into working prototypes. Animikh Aich has published peer-reviewed research (180+ citations) and excels at implementing novel techniques for production. Ideal for companies tackling challenges that require innovation beyond standard solutions.

  • Research-to-production implementation
  • Novel algorithm development
  • Proof-of-concept prototypes
  • Technical paper implementation
Explore Innovation

Looking for an AI consultant, strategist or ML engineer in the US? Animikh Aich delivers production-grade AI systems with measurable ROI.

Contact for AI Consulting Download Resume

Experience

My Professional Journey

What is Animikh's track record? With 5+ years in ML research, engineering, and deployment, Animikh has re-architected AI infrastructures to save millions, published autonomous driving research at top conferences (IROS 2025), and scaled deep learning across massive camera networks.

Jun 2024 - Apr 2026

Computer Vision & ML Engineer

Moultrie - An EBSCO Company

  • Reduced infrastructure costs by $1 Million+ (~95%): Architected a 6x faster ML pipeline using NVIDIA Triton, replacing a costly Databricks system.
  • Built an industry-first Animal Re-identification system: Pioneered the "Night Image Enhance" feature, solving "unsolvable" domain gaps and delivering the company's #1 most-requested feature.
  • Improved core Animal Detection accuracy by +16.4% mAP: Deployed "Overwatch" health monitor, completely eliminating Azure Load Balancer costs.
Jan 2023 - May 2024

Graduate Research Assistant

H2X Lab, Boston University

  • Achieved a +13% improvement in ground-truth correlation: Designed a novel offline evaluation metric for autonomous driving incorporating prediction uncertainty [Published in IROS 2025].
  • Bridged the Sim2Real gap: Leveraged foundation models (Segment Anything, Depth Anything) to transfer knowledge from CARLA simulations to real-world environments.
Jun 2023 - Aug 2023

Machine Learning Engineer (Contractor)

Moultrie - An EBSCO Company

  • Delivered a 4x resolution enhancement on wildlife imagery by applying generative upscaling models, significantly improving user experience.
  • Developed an antler segmentation and counting system using Grounding DINO and SegmentAnything, enabling precise deer rack analysis.
Feb 2023 - May 2023

Graduate Research Assistant

BIT Lab, Boston University

  • Developed multi-modal algorithms leveraging text/image features for causal inference on user art study; work acknowledged in PNAS Nexus '24.
  • Built ViT/DINOv2 based models for detecting AI-generated art, contributing to research on human creativity vs. Generative AI.
Jun 2019 - Jun 2022

Computer Vision Engineer & Lead

Wobot.ai

  • Deployed 90+ real-time video analytics use cases: Led a team of 14 engineers to scale analytics across 20,000+ CCTV cameras globally.
  • Cut development time by 50%: Architected "WoUtils" core CV library and standardized ML pipelines, tripling engineering productivity.
  • Achieved a 25%+ reduction in safety incidents: Architected ViT-based Person Identification & Tracking systems for compliance at scale.
  • Increased real-time alert precision to 95%: Developed a novel ensemble algorithm, reducing false positive rates by 30% in production.
Apr 2018 - May 2019

Co-Founder & Lead Mentor

Team Technoids (Student Club)

  • Founded a student club for AI/ML; taught and mentored over 180 students across three workshops on Python, Machine Learning, and Computer Vision.
  • Organized hackathons and conducted technical interviews to recruit and train the next generation of student leaders.

Selected Projects

Innovation & Engineering

Wallpaper AI
Generative AI

Wallpaper AI

Generate High Quality 4K Wallpapers from Simple Prompts using Stable Diffusion and Image Enhancement techniques.

Live Demo
Autonomous Driving
Robotics • PyTorch

Autonomous Driving

End-to-end Conditional Imitation Learning framework in a Real-World model city. Focused on safety-critical scenarios.

Read Paper Video
3D Text2LIVE
3D Vision • Gen AI

3D Text2LIVE

Generate 3D renderings of an appearance edited object through text prompts using Neural Radiance Fields (NeRF).

Source Code
Background Subtractor
Deep Learning

Background Subtractor

FCN based Background Subtractor to extract unseen foreground objects using deep autoencoders.

Source Code
Face Blur
Edge AI • OpenVINO

Real-Time Face Blur

Privacy preservation algorithm using Intel OpenVINO Face Detection, optimized for real-time CPU performance.

Source Code
Helmetless Rider
Object Detection

Helmet Detector

YOLOv3 based object detection to capture Helmetless Riders and their License Plates. Used synthetic data generation.

Source Code

Research

Publications & Contributions

IROS 2025 First Author IEEE

Scalable Offline Metrics for Autonomous Driving

Animikh Aich, Adwait Kulkarni, Eshed Ohn-Bar

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025); arXiv preprint arXiv:2510.08571, 2025

arXiv IEEE Xplore Video
MS Thesis First Author

Towards Closing the Generalization Gap in Autonomous Driving

Animikh Aich

Boston University, 2024

BU Library
Best Paper Award

Sentiment Analysis of Restaurant Reviews Using Machine Learning Techniques

Akshay Krishna, Akhilesh V, Animikh Aich, Chetana Hegde

Emerging Research in Electronics, Computer Science and Technology, 2019

Springer
First Author IEEE

Encoding Web-based Data for Efficient Storage in Machine Learning Applications

Animikh Aich, Akshay Krishna, Akhilesh V, Chetana Hegde

International Conference on Information Processing (ICINPRO), 2019

IEEE Xplore

Technical Arsenal

Tools & Technologies

Selected Skills

Python
PyTorch
ML at Scale
OpenCV
TensorFlow
Docker
AWS
Linux
Git

Professional Activities

Community Leadership, Awards & Service

Community Leadership

Co-Organizer, Boston Computer Vision AIR

Join Group

Co-hosting the Boston Computer Vision AIR (AI, Autonomy & Robotics) meetup group for the past 2 years. I organize monthly events connecting 50-90+ participants, ranging from graduate students to industry professionals and professors from the greater Boston area. My role involves curating speakers, managing logistics, and fostering a collaborative environment for networking and knowledge exchange in Computer Vision and Robotics.

Event Highlights (Co-Hosted)

Manuscript Reviewer

Awards & Recognition

  • First Prize - Product Bug Hunt (2021)
    Wobot.ai - Awarded for finding the highest number of bugs.
  • Winning Team - Hackathon (2020)
    Wobot.ai - Efficient Hand Wash Detection with Facial Recognition.
  • Best Paper Award (2019)
    ICERECT - 3rd International Conference for Sentiment Analysis paper.
  • Best Outgoing Student (2019)
    RNS Institute of Technology - Excelled in Academics and Research.

Testimonials

Endorsements

"He independently comes up with brilliant solutions to challenging research problems, while always keeping up with recent advancements in AI and computer vision."

Eshed Ohn-Bar
Eshed Ohn-Bar
Assistant Professor, Boston University

"He exceeded our expectations by far in what he was able to accomplish. We were able to accomplish multiple ML/AI goals this summer thanks to Animikh's efforts."

Robb Schiefer Jr
Robb Schiefer Jr
VP of Software Engineering - Moultrie

"'Genuine expert' is the phrase that pops into my mind when I think about Animikh. I've never seen anyone handling multiple projects like him."

Aadil Srivastava
Aadil Srivastava
SDE 2, AWS

"Animikh defined his own research project within end-to-end autonomous driving systems and holistically tackled it... The defense was outstanding."

Eshed Ohn-Bar
Eshed Ohn-Bar
Assistant Professor, Boston University

"He demonstrated exceptional research, analysis, and development skills that greatly contributed to our projects."

Dokyun Lee
Dokyun (DK) Lee
Associate Professor, Boston University

"Animikh is one of the hardest-working people I have ever met... Whenever something is assigned to him, rest assured it will be completed with utmost dedication."

Vinay Kumar Verma
Vinay Kumar Verma
PhD Candidate, IIIT-Delhi

"Animikh is one of the most focused and driven people I've worked with... He's a tech whiz, a great leader, and a fantastic coworker."

Dhairya Kumar
Dhairya Kumar
Associate Product Manager, Marrow

"Animikh doesn't only know how to deliver, he knows how to deliver well. He has contributed greatly to Wobot's goal of automating and scaling AI processing."

Nitin Sharma
Nitin Sharma
Senior Product Manager, Wobot.ai

"He has carried out several projects and has published papers under my guidance... he has shown exceptional growth, dedication, and interest in Machine Learning."

Dr. Chetana Hegde
Dr. Chetana Hegde
Lead Manager - AI/ML, Fractal

"He has got exceptional skills when it comes to coding and research. Animikh has been a great mentor for the Computer Vision Engineers and Interns."

Chirag Diwan
Chirag Diwan
Senior Operations Specialist, MongoDB

Frequently Asked Questions

AI Insights & Consultations

I specialize in optimizing ML pipelines using high-performance frameworks like NVIDIA Triton. By re-architecting inefficient systems, I've successfully reduced annual infrastructure costs by 95% (saving over $1M) while increasing throughput 6x.

My expertise ranges from real-time video analytics and object detection to complex challenges like animal re-identification and generative image enhancement. I bridge the gap between academic research and production-grade vision systems.

Yes, I am currently accepting AI contracting and consulting opportunities. Whether you need an ML system architected from scratch or an existing pipeline optimized for performance and cost, I can help deliver results-driven AI solutions.

I focus on deploying and optimizing Large Language Models for production use cases. This includes implementing efficient Retrieval-Augmented Generation (RAG) pipelines, model quantization, and ensuring scalable, low-latency deployments.

My rates vary based on project scope, complexity, and engagement model. I offer project-based pricing, monthly retainers, and embedded team engagements. Contact me with your project details for a custom quote.

I've delivered AI solutions across wildlife technology, video surveillance, retail analytics, autonomous vehicles, enterprise SaaS, and research institutions. My expertise in computer vision and ML infrastructure optimization applies broadly; if you have camera data, sensor streams, or need production ML systems, I can help.

Yes, I provide remote AI consulting and contracting services worldwide. I work with clients across the US and internationally. Remote collaboration enables flexible engagement while maintaining high-quality delivery through modern tools and clear communication practices.

Project timelines vary by scope. ML infrastructure optimization typically takes 1-3 months, computer vision systems 2-6 months, and LLM/RAG implementations 1-4 months. Advisory engagements are often ongoing.

My process starts with a discovery call to understand your goals, data, and constraints. Next, I conduct a technical feasibility assessment and provide a detailed proposal. Development follows an iterative approach with regular demos and feedback cycles. Finally, I ensure proper documentation, deployment, and knowledge transfer for long-term success.

Get In Touch

Let's Build The Future

Location

Boston, MA 02134

Email

animikhaich@gmail.com